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Updated: April 30th, 2024 05:00

2024 article

Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator

Rhodes, G., Davidian, M., & Lu, W. (2024, February 9). *BIOSTATISTICS*, Vol. 2.

author keywords: context vector; dynamic treatment regime; electronic medical record; MIMIC-III; precision medicine; Q-learning; random forest; residual life; sepsis

TL;DR:
ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life, and it is demonstrated that ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life.
(via Semantic Scholar)

Sources: Web Of Science, NC State University Libraries

Added: February 19, 2024

2024 article

Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials

Wang, R., Cen, M., Huang, Y., Qian, G., Dean, N. E., Ellenberg, S. S., … Longini, I. M. (2024, February 13). *STATISTICS IN MEDICINE*.

author keywords: multiple trials; randomized studies; vaccine effects

TL;DR:
This article proposes a model formulation to estimate the direct, indirect, total, and overall vaccine effects combining data from trials with two types of study designs: individual-randomization and cluster-randomization, based on a Cox proportional hazards model.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

Source: Web Of Science

Added: February 19, 2024

2024 journal article

Mining the factor zoo: Estimation of latent factor models with sufficient proxies

*JOURNAL OF ECONOMETRICS*, *239*(2).

author keywords: Low rank; Heavy tails; High dimensionality; Reduced-rank regression

Source: Web Of Science

Added: April 29, 2024

2023 journal article

DYNAMIC PREDICTION OF RESIDUAL LIFE WITH LONGITUDINAL COVARIATES USING LONG SHORT-TERM MEMORY NETWORKS

*ANNALS OF APPLIED STATISTICS*, *17*(3), 2039–2058.

author keywords: Biomarker; dynamic prediction; electronic medical record; long short-term memory network; longitudinal data; MIMIC-III; neural network; residual life; sepsis; transformed mean residual life model

TL;DR:
It is demonstrated that the L STM-GLM and the LSTM-NN are useful tools for producing individualized, real-time predictions of RMRL that can help inform the treatment decisions of septic patients.
(via Semantic Scholar)

Sources: Web Of Science, NC State University Libraries

Added: November 6, 2023

2023 article

On Learning and Testing of Counterfactual Fairness through Data Preprocessing

Chen, H., Lu, W., Song, R., & Ghosh, P. (2023, April 12). *JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, Vol. 4.

author keywords: Causal inference; Conditional independence test; Fairness learning; Machine learning ethics; Structural causal model

TL;DR:
The Fair Learning through dAta Preprocessing (FLAP) algorithm is developed to learn counterfactually fair decisions from biased training data and formalize the conditions where different data preprocessing procedures should be used to guarantee counterfactual fairness.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: May 1, 2023

2023 article

Targeted optimal treatment regime learning using summary statistics

Chu, J., Lu, W., & Yang, S. (2023, March 15). *BIOMETRIKA*, Vol. 3.

author keywords: Covariate shift; Double robustness; Empirical likelihood; Entropy balancing; Multisource policy learning

TL;DR:
This work proposes a calibrated augmented inverse probability weighted estimator of the value function for the target population and estimates an optimal treatment regime by maximizing this estimator within a class of pre-specified regimes and develops a weighting framework that tailors a treatment regime for a given target population by leveraging the available summary statistics.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: May 22, 2023

2022 article

A Probit Tensor Factorization Model For Relational Learning

Liu, Y., Song, R., Lu, W., & Xiao, Y. (2022, March 10). *JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS*, Vol. 3.

author keywords: Alternating least square; EM algorithm; Link prediction; Multi-relational data; Open-world assumption; Probit model

TL;DR:
A binary tensor factorization model with probit link is proposed, which not only inherits the computation efficiency from the classic tensorfactorization model but also accounts for the binary nature of relational data.
(via Semantic Scholar)

Sources: Web Of Science, NC State University Libraries

Added: March 28, 2022

2022 article

A general framework for subgroup detection via one-step value difference estimation

Johnson, D., Lu, W., & Davidian, M. (2022, August 2). *BIOMETRICS*, Vol. 8.

author keywords: exceptional law; optimal treatment rule; precision medicine; subgroup test; survival analysis; value function

TL;DR:
This work proposes a general framework for testing for the existence of a subgroup with enhanced treatment effects based on the difference of the estimated value functions under an estimated optimal treatment regime and a fixed regime that assigns everyone to the same treatment.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 15, 2022

2022 article

A multiplicative structural nested mean model for zero-inflated outcomes

Yu, M., Lu, W., Yang, S., & Ghosh, P. (2022, August 19). *BIOMETRIKA*, Vol. 8.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: January 3, 2023

2022 article

CAPITAL: Optimal subgroup identification via constrained policy tree search

Cai, H., Lu, W., West, R. M., Mehrotra, D. V., & Huang, L. (2022, July 7). *STATISTICS IN MEDICINE*.

author keywords: constrained policy tree search; optimal subgroup identification; personalized medicine

MeSH headings : Algorithms; Humans; Policy; Precision Medicine / methods; Research Design

TL;DR:
This article presents an optimal subgroup selection rule (SSR) that maximizes the number of selected patients, and in the meantime, achieves the pre‐specified clinically meaningful mean outcome, such as the average treatment effect.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Source: Web Of Science

Added: July 26, 2022

2022 article

Change-plane analysis for subgroup detection with a continuous treatment

Jin, P., Lu, W., Chen, Y., & Liu, M. (2022, October 24). *BIOMETRICS*.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: October 31, 2022

2022 article

Distributed Cox proportional hazards regression using summary-level information

Li, D., Lu, W., Shu, D., Toh, S., & Wang, R. (2022, February 23). *BIOSTATISTICS*.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: March 7, 2022

2022 journal article

EFFICIENT ESTIMATION FOR DIMENSION REDUCTION WITH CENSORED SURVIVAL DATA

*STATISTICA SINICA*, *32*, 2359–2380.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: October 11, 2022

2022 article

Functional data analysis for longitudinal data with informative observation times

Weaver, C., Xiao, L., & Lu, W. (2022, March 28). *BIOMETRICS*, Vol. 3.

author keywords: functional data analysis; informative observation times; longitudinal data; penalized splines

MeSH headings : Models, Statistical; Longitudinal Studies; Computer Simulation

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, ORCID, NC State University Libraries

Added: February 22, 2022

2022 article

Marginal proportional hazards models for clustered interval-censored data with time-dependent covariates

Cook, K., Lu, W., & Wang, R. (2022, December 1). *BIOMETRICS*.

author keywords: clustered failure time data; composite em algorithm; composite likelihood; HIV; interval censoring; marginal models; nonparametric likelihood; proportional hazards; semiparametric regression; time-dependent covariates

TL;DR:
A stratified proportional hazards model for clustered interval‐censored data with time‐dependent covariates is adopted and a composite expectation maximization algorithm is developed that facilitates estimation of model parameters without placing parametric assumptions on either the baseline hazard functions or the within‐cluster dependence structure.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: December 19, 2022

2022 journal article

Phylogeny-guided microbiome OTU-specific association test (POST)

*MICROBIOME*, *10*(1).

author keywords: Association test; Phylogenetic tree; Kernel machine regression

MeSH headings : Computational Biology / methods; Computer Simulation; Female; Humans; Infant, Newborn; Microbiota / genetics; Phylogeny; Premature Birth

TL;DR:
This work proposes a local collapsing test called phylogeny-guided microbiome OTU-specific association test (POST), and develops a user friendly R package POSTm, which can enhance the selection performance of associated microbiome features by improving the overall true-positive and false-positive detection.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: June 20, 2022

2022 journal article

TransModel: An R Package for Linear Transformation Model with Censored Data

*JOURNAL OF STATISTICAL SOFTWARE*, *101*(9).

author keywords: transformation model; right censored data

TL;DR:
An R package TransModel based on Chen's approach to linear transformation models, including the proportional hazards model and proportional odds model, under right censoring is developed and applied to the Veterans’ Administration lung cancer data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: March 7, 2022

2021 journal article

Concordance and Value Information Criteria for Optimal Treatment Decision

*Annals of Statistics*, *49*(1), 49–75.

author keywords: Concordance and value information criteria; optimal treatment regime; tuning parameter selection; variable selection

TL;DR:
This paper studies two information criteria: the concordance and value information criteria, for variable selection in optimal treatment decision making, and considers both fixed-$p$ and high dimensional settings, and shows they are consistent in model/tuning parameter selection.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: March 22, 2021

2021 journal article

GEAR: On optimal decision making with auxiliary data

*STAT*, *10*(1).

author keywords: augmented inverse propensity weighted estimation; auxiliary data; individualized treatment rule; optimal treatment decision making

TL;DR:
An auGmented inverse propensity weighted Experimental and Auxiliary sample-based decision Rule (GEAR) is proposed by maximizing the augmented inverse susceptibility weighted value estimator over a class of decision rules using the experimental sample, with the primary outcome being imputed based on the auxiliary sample.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 9, 2021

2021 journal article

Gene-set integrative analysis of multi-omics data using tensor-based association test

*BIOINFORMATICS*, *37*(16), 2259–2265.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: October 18, 2021

2021 article

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

Chen, X., Song, R., Zhang, J., Adams, S. A., Sun, L., & Lu, W. (2021, August 7). *BIOMETRICS*, Vol. 8.

author keywords: individualized treatment regime; kernel estimation; optimal treatment initiation time; time-to-event data; value function

MeSH headings : Humans; Models, Statistical; Computer Simulation

TL;DR:
This article proposes to use restricted mean residual lifetime as a value function to evaluate the performance of different treatment initiation regimes, and develops a nonparametric estimator for the value function, which is consistent even when treatment initiation times are not completely observable and their distribution is unknown.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 16, 2021

2021 article

Online Testing of Subgroup Treatment Effects Based on Value Difference

*2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021)*, pp. 1463–1468.

author keywords: sequential testing; heterogeneous treatment effects

UN Sustainable Development Goal Categories

9. Industry, Innovation and Infrastructure
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: May 2, 2022

2021 journal article

Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk

*JOURNAL OF STATISTICAL PLANNING AND INFERENCE*, *211*, 171–189.

author keywords: PH mixture cure model; Competing risks; EM algorithm; Semiparametric estimation; Logistic regression

TL;DR:
A semiparametric estimation method is developed via an EM algorithm, the asymptotic properties of parametric estimators are provided and its performance is demonstrated through comprehensive simulation studies.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: November 2, 2020

2021 article

Statistical inference of the value function for reinforcement learning in infinite-horizon settings

Shi, C., Zhang, S., Lu, W., & Song, R. (2021, December 22). *JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY*, Vol. 12.

author keywords: bidirectional asymptotics; confidence interval; infinite horizons; reinforcement learning; value function

TL;DR:
The focus of this paper was to construct confidence intervals (CIs) for a policy’s value in infinite horizon settings where the number of decision points diverges to infinity and it is shown that the proposed CI achieves nominal coverage even in cases where the optimal policy is not unique.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: January 3, 2022

2021 journal article

Testing error heterogeneity in censored linear regression

*COMPUTATIONAL STATISTICS & DATA ANALYSIS*, *161*.

author keywords: Censored linear regression; Error heterogeneity; Kernel machine regression; Resampling

TL;DR:
An omnibus test to check error heterogeneity in censored linear regression is developed based on testing the variance component in a working kernel machine regression model and a resampling scheme is derived to approximate the null distribution.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Source: Web Of Science

Added: June 21, 2021

2020 journal article

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis

*PLOS COMPUTATIONAL BIOLOGY*, *16*(5).

Ed(s): J. Ma ^{ n}

MeSH headings : Algorithms; Area Under Curve; Computational Biology / methods; DNA Copy Number Variations / genetics; Genetic Predisposition to Disease / genetics; Genetic Variation / genetics; Genome, Human / genetics; Genome-Wide Association Study / methods; Genomics / methods; Humans; Polymorphism, Single Nucleotide / genetics; Spatial Analysis

TL;DR:
A new kernel-based test called CONCUR is developed that is free from a definition of locus and evaluates CNV-phenotype associations by comparing individuals’ copy number profiles across the genomic regions and is well powered to detect CNV effects in the Swedish Schizophrenia Study and the Taiwan Biobank.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries, ORCID

Added: June 22, 2020

2020 article

ENTROPY LEARNING FOR DYNAMIC TREATMENT REGIMES

Jiang, B., Song, R., Li, J., Zeng, D., Lu, W., He, X., … Kallus, N. (2019, October). *STATISTICA SINICA*, Vol. 29, pp. 1633–1710.

author keywords: Dynamic treatment regime; entropy learning; personalized medicine

TL;DR:
A entropy learning approach to estimate the optimal individualized treatment rules (ITRs) is proposed and the asymptotic distributions for the estimated rules are obtained so as to provide valid inference.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: September 30, 2019

2020 journal article

MODELING AND ESTIMATION OF CONTAGION-BASED SOCIAL NETWORK DEPENDENCE WITH TIME-TO-EVENT DATA

*STATISTICA SINICA*, *30*(4), 2051–2074.

author keywords: Contagion-based social correlation; generalized linear transformation model; nonparametric maximum likelihood estimation; social network; time-to-event data

TL;DR:
A generalized linear transformation model is proposed for the conditional survival probability at each observed event time, which uses a time-varying covariate to incorporate the network structure and quantify the contagion-based social correlation.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: October 26, 2020

2020 journal article

Model Selection With Mixed Variables on the Lasso Path

*SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICS*, *83*(1), 170–184.

author keywords: Jayanta K; Ghosh; Large p small n; Penalized regression; Variable selection; Primary; Secondary

TL;DR:
A new variable selection procedure is developed to control over-selection of the noise variables ranking after the last relevant variable, and, at the same time, retain a high proportion of relevant variables ranking before the first noise variable.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: May 18, 2020

2020 journal article

Semiparametric estimation of the cure fraction in population-based cancer survival analysis

*STATISTICS IN MEDICINE*, *39*(26), 3787–3805.

author keywords: Breslow estimator; EM algorithm; mixture cure model; perturbation; population-based study; semiparametric regression

MeSH headings : Aged; Algorithms; Computer Simulation; Female; Humans; Models, Statistical; Neoplasms / mortality; Proportional Hazards Models; Survival Analysis

TL;DR:
Real data analysis shows that the proposed semiparametric MCPH+BM model may provide more accurate estimation in population‐level cancer study.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 10, 2020

2020 journal article

Semiparametric regression of the illness-death model with interval censored disease incidence time: An application to the ACLS data

*STATISTICAL METHODS IN MEDICAL RESEARCH*, *29*(12), 3707–3720.

author keywords: Semi-competing model; illlness-death model; semi-parametric regression; interval censoring; Markov models

MeSH headings : Incidence; Likelihood Functions; Longitudinal Studies; Models, Statistical; Proportional Hazards Models

TL;DR:
A semiparametric illness-death model account for intermittent observations of the cardiovascular disease incidence time and the right censored data of all-cause mortality is developed and evaluated using extensive simulation studies and illustrated with an application to the Aerobics Center Longitudinal Study data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: July 27, 2020

2020 journal article

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *116*(535), 1307–1318.

author keywords: Confidence interval; Generalized linear models; Online estimation; Ultrahigh dimensions

TL;DR:
A new estimation and valid inference method for single or low-dimensional regression coefficients in high-dimensional generalized linear models and it is proved the proposed CI is asymptotically narrower than the CIs constructed based on the desparsified Lasso estimator and the decorrelated score statistic.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: February 10, 2020

2020 journal article

Statistical Inference for Online Decision Making: In a Contextual Bandit Setting

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *116*(533), 240–255.

author keywords: Epsilon-greedy; Inverse propensity weighted estimator; Model misspecification; Online decision making; Statistical inference

TL;DR:
Using the martingale central limit theorem, it is shown that the online ordinary least squares estimator of model parameters is asymptotically normal and the in-sample inverse propensity weighted value estimator is asylptotic normal.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries, ORCID

Added: July 27, 2020

2019 journal article

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *115*(531), 1201–1213.

author keywords: High-dimensional testing; Optimal treatment regime; Precision medicine; Qualitative treatment effects; Sparse random projection

TL;DR:
This article considers testing the overall qualitative treatment effects of patients’ prognostic covariates in a high-dimensional setting and proposes a sample splitting method to construct the test statistic, based on a nonparametric estimator of the contrast function.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: July 29, 2019

2019 journal article

A varying-coefficient generalized odds rate model with time-varying exposure: An application to fitness and cardiovascular disease mortality

*BIOMETRICS*, *75*(3), 853–863.

author keywords: B-splines; expectation-maximization algorithm; generalized odds rate model; joint modeling; varying coefficient

MeSH headings : Age Factors; Algorithms; Cardiovascular Diseases / mortality; Humans; Longitudinal Studies; Models, Statistical; Physical Fitness

TL;DR:
A varying‐coefficient generalized odds rate model is proposed that allows flexible estimation of age‐modified effects of longitudinal physical fitness on CVD mortality and its associated age‐varying coefficient function is represented by cubic B‐splines.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: October 21, 2019

2019 journal article

Identifying individual risk rare variants using protein structure guided local tests (POINT)

*PLOS COMPUTATIONAL BIOLOGY*, *15*(2).

MeSH headings : Angiopoietin-Like Protein 4 / genetics; Cholesterol Ester Transfer Proteins / genetics; Computational Biology / methods; Computer Simulation; Genetic Association Studies / methods; Genetic Predisposition to Disease / genetics; Genetic Variation / genetics; Humans; Models, Genetic; Proprotein Convertase 9 / genetics; Protein Structure, Tertiary; Risk Factors; Sequence Analysis, DNA / methods

TL;DR:
This work proposes a protein structure guided local test (POINT) to provide variant-specific association information using structure-guided aggregation of signal and assess the selection performance of POINT using simulations and illustrates how it can be used to prioritize individual rare variants in PCSK9, ANGPTL4 and CETP in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) clinical trial data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: March 25, 2019

2019 journal article

MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODEL

*STATISTICA SINICA*, *29*(3), 1585–1605.

author keywords: Generalized linear mixed model (GLMM); Laplace approximation; MM algorithm; variance components selection

TL;DR:
Two efficient and stable minorization-maximization algorithms for estimating variance components based on a Laplace approximation of the logistic model and a simple iterative soft-thresholding algorithm for variance component selection using the maximum penalized approximated likelihood.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: July 29, 2019

2019 journal article

Modelling and estimation for optimal treatment decision with interference

*Stat*, *8*(1).

author keywords: A-learning; interference; network; optimal treatment regimen; Q-learning

TL;DR:
It is shown that the optimal treatment regimen under the proposed network‐based regression model is independent from interference, which makes its application in practice more feasible and appealing.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Crossref, NC State University Libraries

Added: January 13, 2020

2019 journal article

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS

*ANNALS OF STATISTICS*, *47*(4), 2348–2377.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: June 17, 2019

2019 journal article

On restricted optimal treatment regime estimation for competing risks data

*BIOSTATISTICS*, *22*(2), 217–232.

author keywords: Competing risks data; Cumulative incidence function; Optimal treatment regime; Side effects; Value search method

MeSH headings : Data Interpretation, Statistical; Humans; Incidence; Risk Assessment

TL;DR:
This article proposes to model time to a primary event of interest and time to severe side effects of treatment by a competing risks model and define a restricted optimal treatment regime based on cumulative incidence functions using a penalized value search method.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 9, 2021

2019 journal article

Robust regression for optimal individualized treatment rules

*Statistics in Medicine*, *38*(11), 2059–2073.

author keywords: optimal individualized treatment rules; personalized medicine; quantile regression; robust regression

MeSH headings : Algorithms; Clinical Protocols; Humans; Models, Statistical; Precision Medicine; Regression Analysis

TL;DR:
Under some general situations, the new estimator coupled with the pinball loss approximately maximizes the outcome's conditional quantile instead of the conditional mean, which leads to a more robust optimal individualized treatment rule than the traditional mean‐based estimators.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Crossref

Added: February 21, 2020

2019 journal article

Testing and Estimation of Social Network Dependence With Time to Event Data

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *115*(530), 570–582.

author keywords: Cox model; EM algorithm; Social network dependence; Time-to-event data

TL;DR:
A novel latent spatial autocorrelation Cox model is proposed to study social network dependence with time-to-event data and introduces a latent indicator to characterize whether a person’s survival time might be affected by his or her friends’ features.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

10. Reduced Inequalities
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: July 8, 2019

2019 article

VARIANCE COMPONENT TEST FOR CROSS-DISORDER PATHWAY ANALYSIS

*EUROPEAN NEUROPSYCHOPHARMACOLOGY*, Vol. 29, pp. 1204–1205.

Sources: Web Of Science, NC State University Libraries

Added: August 12, 2019

2018 journal article

A Massive Data Framework for M-Estimators with Cubic-Rate

*Journal of the American Statistical Association*, *113*(524), 1698–1709.

author keywords: Cubic rate asymptotics; Divide and conquer; M-estimators; Massive data

TL;DR:
Under certain condition on the growing rate of the number of subgroups, the resulting aggregated estimators are shown to have faster convergence rate and asymptotic normal distribution, which are more tractable in both computation and inference than the original M-estimators based on pooled data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: February 18, 2019

2018 journal article

Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data

*JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS*, *27*(1), 48–58.

author keywords: Cure model; Data augmentation; EM algorithm; Generalized odds rate model; Interval censoring

TL;DR:
A computationally efficient EM algorithm, facilitated by a gamma-Poisson data augmentation, for maximum likelihood estimation in a class of generalized odds rate mixture cure (GORMC) models with interval-censored data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2018 journal article

Deep advantage learning for optimal dynamic treatment regime

*Statistical Theory and Related Fields*, *2*(1), 80–88.

UN Sustainable Development Goal Categories

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Crossref, NC State University Libraries

Added: January 13, 2020

2018 journal article

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES

*ANNALS OF STATISTICS*, *46*(3), 925–957.

author keywords: A-learning; Dantzig selector; NP-dimensionality; model misspecification; optimal dynamic treatment regime; oracle inequality

TL;DR:
This paper proposes a penalized multi-stage A-learning for deriving the optimal dynamic treatment regime when the number of covariates is of the non-polynomial (NP) order of the sample size and adopts the Dantzig selector which directly penalizes the A-leaning estimating equations.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2018 journal article

High-dimensional inference for personalized treatment decision

*ELECTRONIC JOURNAL OF STATISTICS*, *12*(1), 2074–2089.

author keywords: Large p small n; model misspecification; optimal treatment regime; robust regression

TL;DR:
An asymptotically unbiased estimator based on Lasso solution for the interaction coefficients is proposed and the limiting distribution of the estimator is derived when baseline function of the regression model is unknown and possibly misspecified.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, ORCID, NC State University Libraries

Added: August 6, 2018

2018 journal article

Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects

*JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY*, *80*(4), 681–702.

author keywords: Heterogeneity; Maximin projection learning; Optimal treatment regime; Quadratically constrained linear programming

TL;DR:
A new maximin projection learning method is proposed for estimating a single treatment decision rule that works reliably for a group of future patients from a possibly new subpopulation by solving a quadratically constrained linear programming problem, which can be efficiently computed by interior point methods.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: October 19, 2018

2018 journal article

ON ESTIMATION OF THE OPTIMAL TREATMENT REGIME WITH THE ADDITIVE HAZARDS MODEL

*STATISTICA SINICA*, *28*(3), 1539–1560.

author keywords: A-learning estimating equations; additive hazards model; doubly robust; optimal treatment regime; time-dependent propensity score

TL;DR:
A new semiparametric additive hazard model is introduced which allows flexible baseline covariate effects in the control group and incorporates marginal treatment effect and its linear interaction with covariates and a time-dependent propensity score is proposed to construct an A-learning type of estimating equations.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: December 3, 2018

2018 journal article

Sparse concordance-assisted learning for optimal treatment decision

*Journal of Machine Learning Research*, *18*.

Source: NC State University Libraries

Added: August 6, 2018

2017 journal article

An improved survival estimator for censored medical costs with a kernel approach

*COMMUNICATIONS IN STATISTICS-THEORY AND METHODS*, *47*(23), 5702–5716.

author keywords: Censored data; Kernel method; Median cost; Survival analysis

TL;DR:
This work proposes a kernel-based survival estimator for costs, which is monotone, consistent, and more efficient than several existing estimators.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: October 16, 2018

2017 journal article

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

*Journal of the American Statistical Association*, *112*(518), 769–778.

author keywords: Change-plane analysis; Doubly robust test; Sample size calculation; Semiparametric model; Subgroup analysis

TL;DR:
A change-plane technique is adopted to first test the existence of a subgroup, and then identify the subgroup if the null hypothesis on nonexistence of such a sub group is rejected.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: August 6, 2018

2017 journal article

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY

*ANNALS OF APPLIED STATISTICS*, *11*(3), 1763–1786.

author keywords: Doubly robust estimation; median survival time; optimal treatment regimen; restricted mean survival time

TL;DR:
A doubly robust approach to estimate optimal treatment regimes that optimize a user specified function of the survival curve, including the restricted mean survival time and the median survival time is proposed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2017 journal article

Semiparametric single-index model for estimating optimal individualized treatment strategy

*ELECTRONIC JOURNAL OF STATISTICS*, *11*(1), 364–384.

author keywords: Personalized medicine; single index model; semi-parametric inference

TL;DR:
A new semiparametric additive single-index model for estimating individualized treatment strategy that assumes a flexible and nonparametric link function for the interaction between treatment and predictive covariates is proposed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2017 journal article

Subgroup detection and sample size calculation with proportional hazards regression for survival data

*Statistics in Medicine*, *36*(29), 4646–4659.

author keywords: change-plane analysis; doubly robust test; sample size calculation; subgroup detection; survival data

MeSH headings : Acquired Immunodeficiency Syndrome; Algorithms; Clinical Trials as Topic; Computer Simulation; Control Groups; Humans; Propensity Score; Proportional Hazards Models; Regression Analysis; Sample Size; Statistics, Nonparametric; Survival Analysis

TL;DR:
A score‐type test for detecting the existence of the subgroup is developed, which is doubly robust against misspecification of the baseline effect model or the propensity score but not both under mild assumptions for censoring.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: August 6, 2018

2016 journal article

An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data

*STATISTICS IN MEDICINE*, *36*(7), 1157–1171.

author keywords: data augmentation; EM algorithm; interval censoring; generalized odds-rate models

MeSH headings : Algorithms; Breast Neoplasms / mortality; Breast Neoplasms / therapy; Data Interpretation, Statistical; Female; HIV Infections / complications; Hemophilia A / complications; Humans; Likelihood Functions; Models, Statistical; Odds Ratio; Poisson Distribution; Proportional Hazards Models

TL;DR:
A gamma-Poisson data augmentation approach to develop an Expectation Maximization algorithm, which can be used to fit the generalized odds-rate model to interval censored data and is easy to implement and is computationally efficient.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2016 journal article

Concordance-assisted learning for estimating optimal individualized treatment regimes

*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, *79*(5), 1565–1582.

author keywords: D-optimality; D-s-optimality; Group testing; Sensitivity; Specificity

TL;DR:
A type of concordance function for prescribing treatment is introduced and a robust rank regression method for estimating the concordances function is proposed and a doubly robust estimator of parameters in the prescriptive index is developed under a class of monotonic index models.
(via Semantic Scholar)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: August 6, 2018

2016 journal article

Efficient Estimation for Accelerated Failure Time Model under Case-Cohort and Nested Case-Control Sampling

*BIOMETRICS*, *73*(1), 114–123.

author keywords: Accelerated failure time model; Case-cohort; Efficient estimation; Kernel smoothing; Nested case-control

MeSH headings : Algorithms; Case-Control Studies; Computer Simulation; Data Interpretation, Statistical; Healthcare Failure Mode and Effect Analysis / statistics & numerical data; Humans; Likelihood Functions; Models, Statistical; Regression Analysis; Wilms Tumor / diagnosis; Wilms Tumor / pathology

TL;DR:
An efficient likelihood-based estimation method for the accelerated failure time model under case-cohort and nested case-control designs is proposed and it is shown that the proposed estimators for the regression coefficients are consistent and asymptotically normal.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2016 journal article

On estimation of optimal treatment regimes for maximizing t -year survival probability

*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, *79*(4), 1165–1185.

author keywords: Inverse probability weighted estimation; Kaplan-Meier estimator; Optimal treatment regime; Personalized medicine; Survival probability; Value function

TL;DR:
This work proposes two non‐parametric estimators for the survival function of patients following a given treatment regime involving one or more decisions, i.e. the so‐called value, and introduces kernel smoothing within the estimator to improve performance.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: August 6, 2018

2016 journal article

Optimal treatment regimes for survival endpoints using locally-efficient doubly-robust estimator from a classification perspective

*Lifetime Data Analysis*, *23*(4), 585–604.

author keywords: Classification; Doubly-robust; Observational survival study; Optimal treatment regime; Value search

MeSH headings : Computer Simulation; Coronary Artery Bypass; Coronary Artery Disease / mortality; Coronary Artery Disease / therapy; Decision Making; Humans; Life Tables; Models, Statistical; Monte Carlo Method; Percutaneous Coronary Intervention; Survival Analysis; Treatment Outcome

TL;DR:
This work derives a locally efficient, doubly robust, augmented inverse probability weighted complete case estimator for the value function with censored survival data and study the large sample properties of this estimator.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2016 journal article

Oracle estimation of parametric transformation models

*ELECTRONIC JOURNAL OF STATISTICS*, *10*(1), 90–120.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2016 journal article

Rare variants association analysis in large-scale sequencing studies at the single locus level

*PLoS Computational Biology*, *12*(6).

Source: NC State University Libraries

Added: August 6, 2018

2016 journal article

Robust learning for optimal treatment decision with NP-dimensionality

*ELECTRONIC JOURNAL OF STATISTICS*, *10*(2), 2894–2921.

author keywords: Non-concave penalized likelihood; optimal treatment strategy; oracle property; variable selection

TL;DR:
A robust procedure for estimating the optimal treatment regime under NP dimensionality is proposed and penalized regressions are employed with the non-concave penalty function, where the conditional mean model of the response given predictors may be misspecified.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2016 journal article

SEQUENTIAL ADVANTAGE SELECTION FOR OPTIMAL TREATMENT REGIME

*ANNALS OF APPLIED STATISTICS*, *10*(1), 32–53.

author keywords: Optimal treatment regime; qualitative interaction; sequential advantage; variable selection

TL;DR:
A sequential advantage selection method based on the modified S-score that selects qualitatively interacted variables sequentially, and hence excludes marginally important but jointly unimportant variables or vice versa, and can handle a large amount of covariates even if sample size is small.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2015 journal article

A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction

*GENETIC EPIDEMIOLOGY*, *39*(6), 456–468.

author keywords: multiple-kernel analysis; kernel machine regression; exon level association test; gene-environment interaction; gene-gene interactions

MeSH headings : Algorithms; Gene-Environment Interaction; Genetic Variation; Homocysteine / metabolism; Humans; Models, Genetic; Quantitative Trait Loci; Regression Analysis; Risk Factors; Software; Stroke / etiology; Vitamins / metabolism

TL;DR:
This work proposes a computationally efficient and statistically rigorous “fastKM” algorithm for multikernel analysis that is based on a low‐rank approximation to the nuisance effect kernel matrices and shows that it has similar performance to an EM‐based KM approach for quantitative traits while running much faster.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2015 journal article

Authors' Reply to comments on ‘Sample size calculation for the proportional hazards cure model’

Authors' Reply to comments on ‘Sample size calculation for the proportional hazards cure model.’ *Statistics in Medicine*, *34*(17), 2578–2580.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

Source: Crossref

Added: August 14, 2021

2015 journal article

Groupwise Dimension Reduction via Envelope Method

*Journal of the American Statistical Association*, *110*(512), 1515–1527.

author keywords: Central subspace; Direct sum envelope; Multiple-index models; Sliced inverse regression

TL;DR:
This article aims at dimension reduction that recovers full regression information while preserving the predictor group structure, and introduces a systematic way to incorporate the group information in most existing SDR estimators.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Crossref

Added: August 14, 2021

2015 journal article

Identification of homogeneous and heterogeneous variables in pooled cohort studies

*BIOMETRICS*, *71*(2), 397–403.

author keywords: Adaptive group lasso; Cox proportional hazards model; Heterogeneity; Penalized partial likelihood; Pooled analysis; Structure identification

MeSH headings : Algorithms; Biometry; Cohort Studies; Computer Simulation; Female; Gene Expression; Humans; Likelihood Functions; Models, Statistical; Ovarian Neoplasms / genetics; Proportional Hazards Models; Sample Size

TL;DR:
This article considers the pooled cohort studies with time-to-event outcomes and proposes a penalized Cox partial likelihood approach with adaptively weighted composite penalties on variables' homogeneous and heterogeneous effects and shows that the method can characterize the variables as having heterogeneous, homogeneous, or null effects, and estimate non-zero effects.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2015 journal article

local buckley-james estimation for heteroscedastic accelerated failure time model

*Statistica Sinica*, *25*(3), 863–877.

Source: NC State University Libraries

Added: August 6, 2018

2014 journal article

A model-free machine learning method for risk classification and survival probability prediction

*Stat*, *3*(1), 337–350.

author keywords: model-free; risk classification; support vector machines; survival probability prediction

TL;DR:
A new model‐free machine learning framework for risk classification and survival probability prediction based on weighted support vector machines is proposed that does not require any specific parametric or semiparametric model assumption on data and is therefore capable of capturing non‐linear covariate effects.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Crossref

Added: August 14, 2021

2014 journal article

Accelerated Intensity Frailty Model for Recurrent Events Data

*BIOMETRICS*, *70*(3), 579–587.

author keywords: Accelerated intensity frailty model; EM algorithm; Kernel smoothing; Nonparametric maximum likelihood estimation; Recurrent events data

MeSH headings : Antineoplastic Agents / therapeutic use; Computer Simulation; Data Interpretation, Statistical; Humans; Incidence; Models, Statistical; Neoplasm Recurrence, Local / epidemiology; Neoplasm Recurrence, Local / prevention & control; Outcome Assessment, Health Care / methods; Prognosis; Reproducibility of Results; Risk Factors; Sensitivity and Specificity; Urinary Bladder Neoplasms / drug therapy; Urinary Bladder Neoplasms / epidemiology

TL;DR:
An accelerated intensity frailty model for recurrent events data is proposed and a test for the variance of frailty is derived and a kernel-smoothing-based EM algorithm for estimating regression coefficients and the baseline intensity function is developed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

Censored rank independence screening for high-dimensional survival data

*Biometrika*, *101*(4), 799–814.

author keywords: High-dimensional survival data; Rank independence screening; Sure screening property

TL;DR:
Simulations and an analysis of real data demonstrate that the proposed method performs competitively on survival data sets of moderate size and high-dimensional predictors, even when these are contaminated.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries, Crossref, ORCID

Added: August 6, 2018

2014 journal article

Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression

*STATISTICS IN BIOSCIENCES*, *7*(2), 225–244.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

GENE-LEVEL PHARMACOGENETIC ANALYSIS ON SURVIVAL OUTCOMES USING GENE-TRAIT SIMILARITY REGRESSION

*ANNALS OF APPLIED STATISTICS*, *8*(2), 1232–1255.

author keywords: Association study; gene/pathway; pharmacogenetics; similarity regression; survival data; proportional odds model; proportional hazards model

TL;DR:
A gene-trait similarity regression for survival analysis to assess the effect of a gene or pathway on time-to-event outcomes and derives the equivalence between the similarity survival regression and a random effects model, which further unifies the current variance-component based methods.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model

*COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE*, *113*(1), 290–300.

author keywords: Proportional hazards mixture cure model; Power; Sample size; Weighted log-rank test; R package

MeSH headings : Proportional Hazards Models; Statistics, Nonparametric; Survival Analysis

TL;DR:
An R package NPHMC is developed to determine the sample size needed for a trial with cure fractions, and the PH mixture cure model is an important tool in handling the survival data with possible cure fractions.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

On optimal treatment regimes selection for mean survival time

*STATISTICS IN MEDICINE*, *34*(7), 1169–1184.

author keywords: adaptive LASSO; censored regression; mean survival time; optimal treatment regime; variable selection

MeSH headings : Acquired Immunodeficiency Syndrome / drug therapy; Acquired Immunodeficiency Syndrome / mortality; Anti-HIV Agents / administration & dosage; Biostatistics / methods; Clinical Trials as Topic / statistics & numerical data; Computer Simulation; Humans; Kaplan-Meier Estimate; Least-Squares Analysis; Models, Statistical; Precision Medicine / methods; Precision Medicine / statistics & numerical data; Regression Analysis; Statistics, Nonparametric; Survival Rate

TL;DR:
This paper proposes a robust loss‐based estimation framework that can be easily coupled with shrinkage penalties for both estimation of optimal treatment regimes and variable selection, and a model‐free estimator of restricted mean survival time under the derived optimal treatment regime is developed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

Sample size calculation for the proportional hazards model with a time-dependent covariate

*COMPUTATIONAL STATISTICS & DATA ANALYSIS*, *74*, 217–227.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2014 journal article

Testing Goodness-of-Fit for the Proportional Hazards Model based on Nested Case-Control Data

*BIOMETRICS*, *70*(4), 845–851.

author keywords: Goodness-of-fit test; Nested case-control sampling; Proportional hazards model; Pseudo-likelihood estimation; Resampling method

MeSH headings : Algorithms; Case-Control Studies; Cohort Studies; Humans; Likelihood Functions; Neoplasm Staging; Prognosis; Proportional Hazards Models; Regression Analysis; Reproducibility of Results; Risk Assessment / methods; Sensitivity and Specificity; Wilms Tumor / epidemiology; Wilms Tumor / pathology

TL;DR:
A class of goodness‐of‐fit test statistics for testing the proportional hazards assumption based on nested case–control data is proposed based on asymptotically mean‐zero processes derived from Samuelsen's maximum pseudo‐likelihood estimation method.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *108*(501), 217–227.

author keywords: Case-cohort design; Counting process; Cox model; Estimating equations; Importance sampling; Length bias; Proportional odds model; Regression; Survival data; Truncation

TL;DR:
The unified approach is demonstrated through the special cases of left truncation, length bias, the case-cohort design, and variants thereof, and the plug-in estimator is shown to be consistent.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity

*BIOSTATISTICS*, *14*(4), 682–694.

author keywords: Cox's proportional hazards model; Group penalty; Heterogeneity; Nested case-control sampling; Ovarian cancer; Pooled studies; Shrinkage estimation

MeSH headings : Case-Control Studies; Computer Simulation; Data Interpretation, Statistical; Female; Humans; Italy / epidemiology; Likelihood Functions; Ovarian Neoplasms / epidemiology; Proportional Hazards Models; Sweden / epidemiology; United States / epidemiology

TL;DR:
This article investigates the use of penalty regularized partial likelihood estimation in the context of pooled NCC studies of ovarian cancer in three cohorts from United States, Sweden, and Italy, and proposes an adaptive group lasso (gLASSO) penalized approach to simultaneously identify important variables and estimate their effects.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

Kernel smoothed profile likelihood estimation in the accelerated failure time frailty model for clustered survival data

*BIOMETRIKA*, *100*(3), 741–755.

author keywords: Accelerated failure time model; Clustered survival data; em algorithm; Kernel smoothing; Profile likelihood estimation

TL;DR:
This article considers an accelerated failure time frailty model for clustered survival data and develops nonparametric maximum likelihood estimation for it via a kernel smoother aided EM algorithm and shows that the proposed estimator for the regression coefficients is consistent, asymptotically normal and semiparametric efficient when the kernel bandwidth is properly chosen.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

More efficient estimators for case-cohort studies

*BIOMETRIKA*, *100*(3), 695–708.

author keywords: Case-cohort study; Multiple disease outcomes; Multivariate failure time; Proportional hazards model; Survival analysis

TL;DR:
This paper proposes an estimating equation approach with a new weight function, and establishes the consistency and asymptotic normality of the resulting estimator.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

Partially linear single index Cox regression model in nested case-control studies

*COMPUTATIONAL STATISTICS & DATA ANALYSIS*, *67*, 199–212.

author keywords: Nested case-control study; Risk-set sampling; Nonparametric regression; Nonlinear effect; Single index model

TL;DR:
A partially linear single index proportional hazard model, which includes a linear component for covariates of interest to yield easily interpretable results and a nonparametric single index component to adjust for multiple confounders effectively is considered.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2012 journal article

A Semi-nonparametric Approach to Joint Modeling of A Primary Binary Outcome and Longitudinal Data Measured at Discrete Informative Times

*Statistics in Biosciences*, *4*(2), 213–234.

author keywords: EM algorithm; Informative observation times; IVF; Joint model; Longitudinal data; Maximum likelihood estimation; SNP density

TL;DR:
This work proposes to introduce a third model in the joint model for the informative β-hCG observation times, and relax the normality distributional assumption of random effects using the semi-nonparametric (SNP) approach of Gallant and Nychka (Econometrica 55:363–390, 1987).
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Crossref

Added: August 28, 2020

2012 journal article

On the robustness of the adaptive lasso to model misspecification

*BIOMETRIKA*, *99*(3), 717–731.

author keywords: Least false parameter; Model misspecification; Oracle property; Penalization; Selection consistency; Shrinkage estimation; Variable selection

TL;DR:
Estimation with the adaptive least absolute shrinkage and selection operator, lasso, penalty is proven to achieve sparse estimation of regression coefficients under misspecification and the resulting estimators are selection consistent, asymptotically normal and oracle.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2012 journal article

Physical activity/fitness peaks during perimenopause and BMI change patterns are not associated with baseline activity/fitness in women: a longitudinal study with a median 7-year follow-up

*British Journal of Sports Medicine*, *47*(2), 77–82.

MeSH headings : Adult; Aged; Aging / physiology; Body Mass Index; Cardiovascular Physiological Phenomena; Exercise / physiology; Female; Follow-Up Studies; Humans; Leisure Activities; Middle Aged; Perimenopause / physiology; Physical Fitness / physiology

TL;DR:
Baseline activity and fitness levels are associated with BMI status during adulthood, but do not affect BMI change trajectory, and the trajectory of BMI was unassociated with baseline activity or fitness levels.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: NC State University Libraries

Added: August 6, 2018

2012 journal article

Sample size calculation for the proportional hazards cure model

*STATISTICS IN MEDICINE*, *31*(29), 3959–3971.

author keywords: clinical trial; proportional hazards cure model; power; sample size; weighted log-rank test

MeSH headings : Humans; Interferon alpha-2; Interferon-alpha / therapeutic use; Neoplasms / drug therapy; Neoplasms / mortality; Proportional Hazards Models; Randomized Controlled Trials as Topic / statistics & numerical data; Recombinant Proteins / therapeutic use; Sample Size; Survival Analysis

TL;DR:
A sample size formula on the basis of the PH cure model is developed by investigating the asymptotic distributions of the standard weighted log‐rank statistics under the null and local alternative hypotheses and shows that ignoring the cure rate in sample size calculation can lead to either underpowered or overpowered studies.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2012 journal article

Variance estimation in censored quantile regression via induced smoothing

*COMPUTATIONAL STATISTICS & DATA ANALYSIS*, *56*(4), 785–796.

author keywords: Censored quantile regression; Smoothing; Survival analysis; Variance estimation

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2011 journal article

On estimation of linear transformation models with nested case-control sampling

*LIFETIME DATA ANALYSIS*, *18*(1), 80–93.

author keywords: Linear transformation models; Nested case-control sampling; Weighted estimating equation

MeSH headings : Case-Control Studies; Child; Cohort Studies; Computer Simulation; Data Interpretation, Statistical; Humans; Models, Statistical; Wilms Tumor / pathology

TL;DR:
This paper considers a family of linear transformation models for analyzing NCC data and proposes an inverse selection probability weighted estimating equation method for inference and shows that the asymptotic variance has a closed analytic form and can be easily estimated.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2011 journal article

Variable selection for optimal treatment decision

*STATISTICAL METHODS IN MEDICAL RESEARCH*, *22*(5), 493–504.

author keywords: A-learning; optimal treatment strategy; personalized drugs; shrinkage method; variable selection

MeSH headings : Decision Making; Female; Humans; Male; Models, Theoretical; Precision Medicine

TL;DR:
A new penalized regression framework is proposed which can simultaneously estimate the optimal treatment strategy and identify important variables and greatly facilitates implementation and statistical inferences for the estimator.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

Cox Regression in Nested Case-Control Studies with Auxiliary Covariates

*BIOMETRICS*, *66*(2), 374–381.

author keywords: Counting process; Cox proportional hazards model; Martingale; Risk set sampling; Survival analysis

MeSH headings : Case-Control Studies; Epidemiologic Measurements; Humans; Proportional Hazards Models; Wilms Tumor / epidemiology

TL;DR:
This article considers a situation in which failure/censoring information and some crude covariates are available for the entire cohort in addition to NCC data and proposes an improved estimator that is asymptotically more efficient than Thomas' estimator.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

Cox regression model with time-varying coefficients in nested case-control studies

*BIOSTATISTICS*, *11*(4), 693–706.

author keywords: Kernel estimation; Martingale; Nested case-control study; Proportional hazards model; Risk-set sampling; Time-varying coefficient

MeSH headings : Age Factors; Aged; Algorithms; Biostatistics / methods; Breast Neoplasms / epidemiology; Breast Neoplasms / genetics; Case-Control Studies; Computer Simulation; DNA-Binding Proteins / genetics; Female; Humans; Incidence; Likelihood Functions; Middle Aged; Proportional Hazards Models; Risk; Sample Size; Smoking / genetics; Time Factors

TL;DR:
The proposed inference procedure is evaluated in simulations and applied to an NCC study of breast cancer in the New York University Women's Health Study and establishes asymptotic properties of the proposed estimator and proposes a numerical approach to construct simultaneous confidence bands for time-varying coefficients.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

Efficient estimation for an accelerated failure time model with a cure fraction

*Statistica Sinica*, *20*(2), 661–674.

Source: NC State University Libraries

Added: August 6, 2018

2010 conference paper

Evaluation of distribution fault diagnosis algorithms using ROC curves

*Ieee power and energy soceity general meeting 2010*.

Source: NC State University Libraries

Added: August 6, 2018

2010 journal article

Haplotype-Based Pharmacogenetic Analysis for Longitudinal Quantitative Traits in the Presence of Dropout

*JOURNAL OF BIOPHARMACEUTICAL STATISTICS*, *20*(2), 334–350.

author keywords: Adaptive LASSO; Haplotype-based association analysis; Haplotype-treatment interaction; Missing data; Repeated outcome; Variable selection

MeSH headings : Antipsychotic Agents / therapeutic use; Computer Simulation; Data Interpretation, Statistical; Genetic Predisposition to Disease; Haplotypes; Humans; Likelihood Functions; Longitudinal Studies; Models, Statistical; Patient Dropouts / statistics & numerical data; Pharmacogenetics / statistics & numerical data; Phenotype; Quantitative Trait, Heritable; Randomized Controlled Trials as Topic / statistics & numerical data; Reproducibility of Results; Schizophrenia / drug therapy; Schizophrenia / genetics; Treatment Outcome

TL;DR:
The inverse probability weights are used to handle the outcome-dependent dropouts under the missing-at-random assumption, and the weighted L 1 penalty is incorporated to select important main and interaction effects with high dimensionality.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

On Estimation of Partially Linear Transformation Models

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *105*(490), 683–691.

author keywords: Estimating equations; Local polynomials; Martingale; Resampling

TL;DR:
A new martingale-based estimating equation approach, consisting of both global and kernel-weighted local estimation equations, is developed for estimating the parametric and nonparametric covariate effects in a unified manner, showing that with a proper choice of the kernel bandwidth parameter, one can obtain the consistent and asymptotically normal parameter estimates for the linear effects.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

On sparse estimation for semiparametric linear transformation models

*JOURNAL OF MULTIVARIATE ANALYSIS*, *101*(7), 1594–1606.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

Sparse estimation and inference for censored median regression

*JOURNAL OF STATISTICAL PLANNING AND INFERENCE*, *140*(7), 1903–1917.

author keywords: Censored quantile regression; LASSO; Inverse censoring probability; Solution path

TL;DR:
This paper proposes a new procedure to minimize an inverse-censoring-probability weighted least absolute deviation loss subject to the adaptive LASSO penalty and result in a sparse and robust median estimator and proposes a resampling method to estimate the variance of the estimator.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2010 journal article

Sufficient Dimension Reduction for Censored Regressions

*BIOMETRICS*, *67*(2), 513–523.

author keywords: Censored data; Central subspace; Inverse censoring probability weighted estimation; Sliced inverse regression; Sufficient dimension reduction

MeSH headings : Biometry / methods; Probability; Regression Analysis

TL;DR:
A new class of inverse censoring probability weighted SDR estimators for censored regressions is proposed and regularization is introduced to achieve simultaneous variable selection and dimension reduction.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2009 journal article

Efficiency comparison between mean and log-rank tests for recurrent event time data

*SCIENCE IN CHINA SERIES A-MATHEMATICS*, *52*(6), 1169–1180.

author keywords: asymptotic relative efficiency; frailty model; log-rank test; proportional mean test; recurrent events; robust variance estimation

TL;DR:
Analysis of two popular nonparametric tests for recurrent event time data shows that the log-rank test that only makes use of time to the first occurrence could be more efficient than the test for mean occurrence rates that makesUse of all available recurrence times, provided that subject-to-subject variation ofrecurrence times is large.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2009 journal article

Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times

*BIOMETRICS*, *65*(2), 377–384.

author keywords: Estimating equation; Frailty model; Informative follow-up; Longitudinal data; Semiparametric mixed effects model

MeSH headings : Algorithms; Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Epidemiologic Research Design; Longitudinal Studies; Models, Statistical; Pattern Recognition, Automated; Reproducibility of Results; Risk Assessment / methods; Sensitivity and Specificity

TL;DR:
A two-step estimation procedure is developed for parameter estimation and it is shown that the resulting estimators are consistent and asymptotically normal, and that the asymPTotic variance can be consistently estimated using the bootstrap method.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2008 journal article

A Monte Carlo approach for change-point detection in the Cox proportional hazards model

*STATISTICS IN MEDICINE*, *27*(19), 3894–3909.

author keywords: martingale; multiple change points; partial likelihood; resampling; score test

MeSH headings : Computer Simulation; Data Interpretation, Statistical; Endpoint Determination / methods; Glioma / drug therapy; Humans; Likelihood Functions; Monte Carlo Method; Proportional Hazards Models; Randomized Controlled Trials as Topic; Sample Size; Statistical Distributions; Treatment Outcome

TL;DR:
The proposed approach is applicable for testing a single change point in the Cox model with covariates and sample stratifications over various types of candidate regions, including discrete time-point sets or disjoint intervals and is well applicable under situations with multiple change points.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2008 journal article

Analysis of competing risks data with missing cause of failure under additive hazards model

*Statistica Sinica*, *18*(1), 219–234.

Source: NC State University Libraries

Added: August 6, 2018

2008 journal article

Boosting method for nonlinear transformation models with censored survival data

*BIOSTATISTICS*, *9*(4), 658–667.

author keywords: boosting; censored survival data; importance sampling; marginal likelihood; nonlinear transformation models; smoothing spline

MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Gene Expression Profiling / statistics & numerical data; Humans; Kaplan-Meier Estimate; Likelihood Functions; Lymphoma, Large B-Cell, Diffuse / genetics; Nonlinear Dynamics; Oligonucleotide Array Sequence Analysis / statistics & numerical data; Proportional Hazards Models; Statistics, Nonparametric; Survival Analysis

TL;DR:
A cubic smoothing spline-based component-wise boosting algorithm is derived to estimate covariate effects nonparametrically using the gradient of the marginal likelihood, that is computed using importance sampling, to apply to survival data with high-dimensional covariates.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2008 journal article

Semiparametric analysis of mixture regression models with competing risks data

*LIFETIME DATA ANALYSIS*, *14*(3), 231–252.

author keywords: competing risks data; cumulative incidence function; estimating equation; martingale; mixture model; resampling

MeSH headings : Aged; Antineoplastic Agents, Hormonal / therapeutic use; Breast Neoplasms / drug therapy; Breast Neoplasms / mortality; Computer Simulation; Female; Humans; Models, Statistical; Regression Analysis; Risk Assessment / methods; Tamoxifen / therapeutic use

TL;DR:
This article proposes a new semiparametric regression approach for competing risks data under the usual conditional independent censoring mechanism, and establishes the consistency and asymptotic normality of the resulting estimators.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2008 journal article

Sufficient dimension reduction with missing predictors

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *103*(482), 822–831.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2007 journal article

Adaptive lasso for Cox's proportional hazards model

*BIOMETRIKA*, *94*(3), 691–703.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2007 article

Atomic scale design of nanostructures

*MOLECULAR PHYSICS*, Vol. 105, pp. 147–156.

UN Sustainable Development Goal Categories

7. Affordable and Clean Energy
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2007 journal article

Maximum likelihood estimation in the proportional hazards cure model

*ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS*, *60*(3), 545–574.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2007 journal article

Tests of independence for censored bivariate failure time data

*LIFETIME DATA ANALYSIS*, *13*(1), 75–90.

author keywords: accelerated failure time model; bivariate failure time data; independence test; resampling

MeSH headings : Biometry / methods; Catheters, Indwelling / microbiology; Computer Simulation; Cross Infection / etiology; Diabetic Retinopathy / mortality; Dialysis / adverse effects; Equipment Contamination; Humans; Models, Statistical; Multivariate Analysis; Proportional Hazards Models; Survival Analysis; Treatment Failure

TL;DR:
A class of χ2-type tests for independence between pairs of failure times after adjusting for covariates is presented and variance estimates of the test statistics are obtained using a resampling technique.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2007 journal article

Variable selection for proportional odds model

*STATISTICS IN MEDICINE*, *26*(20), 3771–3781.

author keywords: marginal likelihood; proportional odds model; variable selection; shrinkage estimate

MeSH headings : Algorithms; Likelihood Functions; Proportional Hazards Models; Survival Analysis; United States

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2006 journal article

Empirical likelihood inference for linear transformation models

*JOURNAL OF MULTIVARIATE ANALYSIS*, *97*(7), 1586–1599.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

16. Peace, Justice and Strong Institutions
(OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2006 journal article

Interval mapping of quantitative trait loci for time-to-event data with the proportional hazards mixture cure model

*BIOMETRICS*, *62*(4), 1053–1061.

author keywords: age-at-onset; cure model; EM algorithm; proportional hazards model; QTL mapping

MeSH headings : Algorithms; Analysis of Variance; Animals; Biometry; Chromosome Mapping / statistics & numerical data; Female; Genetic Predisposition to Disease; Humans; Listeriosis / genetics; Mice; Proportional Hazards Models; Quantitative Trait Loci; Time Factors

TL;DR:
A semiparametric proportional hazards mixture cure model is proposed which allows missing covariates to be incorporated and can be used to characterize QTL effects on both susceptibility and time‐to‐event distribution, and to estimate QTL location.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2006 journal article

Mixture cure model with an application to interval mapping of quantitative trait loci

*LIFETIME DATA ANALYSIS*, *12*(4), 421–440.

author keywords: EM algorithm; genome-wide threshold; parametric proportional hazards model; QTL mapping; time-to-event data

MeSH headings : Algorithms; Animals; Biometry; Listeriosis / genetics; Mice; Models, Genetic; Models, Statistical; Proportional Hazards Models; Quantitative Trait Loci; Time Factors

TL;DR:
An interval mapping method based on parametric mixture cure models is proposed, which takes into consideration of nonsusceptible subjects and can be used to detect the QTL that are responsible for differential susceptibility and/or time-to-event trait distribution.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(Web of Science)

13. Climate Action
(Web of Science)

15. Life on Land
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2006 journal article

Semiparametric transformation models for the case-cohort study

*BIOMETRIKA*, *93*(1), 207–214.

author keywords: case-cohort design; martingale; transformation model; weighted estimating equation

TL;DR:
Weighted estimating equations are proposed for simultaneous estimation of the regression parameters and the transformation function and it is shown that the resulting regression estimators are asymptotically normal, with variance-covariance matrix that has a closed form and can be consistently estimated by the usual plug-in method.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2005 journal article

Marginal regression of multivariate event times based on linear transformation models

*LIFETIME DATA ANALYSIS*, *11*(3), 389–404.

author keywords: cluster event times; estimating equations; informative cluster size; linear transformation models; multiple events; recurrent events

MeSH headings : Biomedical Research; Linear Models; Multivariate Analysis; Regression Analysis; United States

TL;DR:
This work proposes several estimating equations for simultaneous estimation of the regression parameters and the transformation function, and shows that the resulting regression estimators are asymptotically normal, with variance–covariance matrix that can be consistently estimated by the usual plug-in method.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

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