Works (87)

Updated: May 22nd, 2024 06:08

2024 journal article

A diverse portfolio of marine protected areas can better advance global conservation and equity

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 121(10).

author keywords: marine protected areas; fishing restrictions; conservation; quasi-experiment; causal inference
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 7, 2024

2024 review

Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review

[Review of ]. STATISTICAL SCIENCE, 39(1), 165–191.

By: B. Colnet*, I. Mayer*, G. Chen*, A. Dieng, R. Li*, G. Varoquaux*, J. Vert, J. Josse*, S. Yang*

author keywords: Causal effect generalization; transportability; double robustness; data integration; heterogeneous data; S-admissibility
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 7, 2024

2024 article

Distributional imputation for the analysis of censored recurrent events

Fairfax, S. R., & Yang, S. (2024, April 29). STATISTICS IN MEDICINE, Vol. 4.

By: S. Fairfax n & S. Yang n

author keywords: control-based imputation; distributional imputation; intercurrent events; recurrent events; sensitivity analysis
Sources: Web Of Science, NC State University Libraries
Added: May 7, 2024

2024 journal article

Multiply robust estimators in longitudinal studies with missing data under control-based imputation

BIOMETRICS, 80(1).

By: S. Liu n, S. Yang n, Y. Zhang* & G. Liu*

author keywords: longitudinal clinical trial; longitudinal observational study; semiparametric theory; sensitivity analysis
TL;DR: A novel estimator inspired by the efficient influence function is obtained, with multiple robustness in the sense that it achieves n1/2-consistency if any pairs of multiple nuisance functions are correctly specified, or if the nuisance functions converge at a rate not slower than n-1/4 when using flexible modeling approaches. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 11, 2024

2024 article

Propensity score matching for estimating a marginal hazard ratio

Wang, T., Zhao, H., Yang, S., Tang, S., Cui, Z., Li, L., & Faries, D. E. (2024, May 5). STATISTICS IN MEDICINE, Vol. 5.

By: T. Wang*, H. Zhao n, S. Yang n, S. Tang*, Z. Cui*, L. Li*, D. Faries*

author keywords: causal survival analysis; double resampling; martingale; propensity score matching; variance estimation
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 13, 2024

2024 article

Transporting survival of an HIV clinical trial to the external target populations

Lee, D., Gao, C., Ghosh, S., & Yang, S. (2024, March 24). JOURNAL OF BIOPHARMACEUTICAL STATISTICS, Vol. 3.

By: D. Lee n, C. Gao n, S. Ghosh n & S. Yang n

author keywords: Data integration; transportability; hazard regression; HIV trials
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 1, 2024

2024 article

genRCT: a statistical analysis framework for generalizing RCT findings to real-world population

Lee, D., Yang, S., Berry, M., Stinchcombe, T., Cohen, H. J., & Wang, X. (2024, April 8). JOURNAL OF BIOPHARMACEUTICAL STATISTICS, Vol. 4.

By: D. Lee n, S. Yang n, M. Berry*, T. Stinchcombe*, H. Cohen* & X. Wang*

author keywords: Causal inference; covariates balance; genRCT; generalizability; Randomized clinical trials; real-world data; treatment effect heterogeneity
Sources: Web Of Science, NC State University Libraries
Added: April 15, 2024

2023 article

Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation

Yang, S., Gao, C., Zeng, D., & Wang, X. (2023, April 6). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, Vol. 4.

By: S. Yang n, C. Gao n, D. Zeng* & X. Wang*

author keywords: counterfactual outcome; least favourable confidence interval; non-regularity; precision medicine; pre-test estimator; semiparametric efficiency
TL;DR: A test-based elastic integrative analysis of the randomised trial and real-world data to estimate treatment effect heterogeneity with a vector of known effect modifiers with a good finite-sample coverage property is proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 19, 2023

2023 journal article

Pretest estimation in combining probability and non-probability samples

ELECTRONIC JOURNAL OF STATISTICS, 17(1), 1492–1546.

By: C. Gao n & S. Yang n

author keywords: Data integration; dynamic borrowing; non-regularity; Pretest estimator
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: June 26, 2023

2023 article

Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes

Liu, S., Zhang, Y., Golm, G. T., Liu, G., & Yang, S. (2023, September 26). STATISTICAL THEORY AND RELATED FIELDS, Vol. 9.

By: S. Liu n, Y. Zhang*, G. Golm*, G. Liu* & S. Yang n

author keywords: Longitudinal clinical trial; missing data; multiple imputation; robust regression; sensitivity analysis
Sources: Web Of Science, NC State University Libraries
Added: October 10, 2023

2023 article

Soft calibration for selection bias problems under mixed-effects models

Gao, C., Yang, S., & Kim, J. K. (2023, March 2). BIOMETRIKA, Vol. 3.

By: C. Gao n, S. Yang n & J. Kim*

author keywords: Inverse propensity score weighting; Latent ignorability; Penalized optimization; Restricted maximum likelihood estimation
TL;DR: A soft calibration scheme, in which the outcome and the selection indicator follow mixed-effects models, which has an intrinsic connection with best linear unbiased prediction, which results in a more efficient estimation compared to hard calibration. (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: April 19, 2023

2023 article

Targeted optimal treatment regime learning using summary statistics

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

By: J. Chu n, W. Lu n & S. Yang n

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
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 22, 2023

2022 journal article

A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PM2.5 USING NUMERICAL MODEL OUTPUT

ANNALS OF APPLIED STATISTICS, 16(4), 2714–2731.

By: A. Larsen*, S. Yang n, B. Reich n & A. Rappold*

author keywords: Bayesian analysis; downscaling; interference; spillover effect
Sources: Web Of Science, NC State University Libraries
Added: November 14, 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.

By: M. Yu n, W. Lu n, S. Yang n & P. Ghosh*

author keywords: Bidirectional asymptotics; Multiplicative structural nested mean model; Timewise randomization; Zero-inflated outcome
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2023

2022 article

Discussion on "Spatial plus : A novel approach to spatial confounding" by Dupont, Wood, and Augustin

Reich, B. J., Yang, S., & Guan, Y. (2022, March 30). BIOMETRICS, Vol. 3.

By: B. Reich n, S. Yang n & Y. Guan*

MeSH headings : Models, Statistical
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: April 8, 2022

2022 article

Double score matching in observational studies with multi-level treatments

Zhao, H., Zhang, X., & Yang, S. (2022, August 29). COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Vol. 8.

By: H. Zhao n, X. Zhang* & S. Yang n

author keywords: Average treatment effect; Double robustness; Generalized propensity score; Weighted bootstrap
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: September 12, 2022

2022 journal article

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population

JOURNAL OF CAUSAL INFERENCE, 10(1), 415–440.

By: D. Lee n, S. Yang n & X. Wang*

author keywords: causal inference; data integration; generalizability; survival analysis; semiparametric efficiency
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2023

2022 journal article

Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread

SPATIAL STATISTICS, 52.

By: A. Giffin n, W. Gong n, S. Majumder*, A. Rappold*, B. Reich n & S. Yang n

author keywords: Causal inference; COVID-19; Spatiotemporal modeling; SIR model
TL;DR: A spatiotemporal model is proposed that estimates the causal effect of changes in community mobility (intervention) on infection rates and suggests that the reductions in mobility decrease Coronavirus cases 4 to 7 weeks after the intervention. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022

2022 journal article

Estimation of partially conditional average treatment effect by double kernel-covariate balancing

ELECTRONIC JOURNAL OF STATISTICS, 16(2), 4332–4378.

By: J. Wang*, R. Wong*, S. Yang n & K. Chan*

author keywords: Augmented weighting estimator; causal infer-ence; fully and partially conditional average treatment effect; treatment effect heterogeneity
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 11, 2023

2022 article

Generalized propensity score approach to causal inference with spatial interference

Giffin, A., Reich, B. J., Yang, S., & Rappold, A. G. (2022, September 19). BIOMETRICS, Vol. 9.

By: A. Giffin n, B. Reich n, S. Yang n & A. Rappold*

author keywords: air pollution; causal inference; interference; spatial process; wildfire
Sources: Web Of Science, NC State University Libraries
Added: October 3, 2022

2022 journal article

Identifiability of causal effects with multiple causes and a binary outcome

BIOMETRIKA, 109(1), 265–272.

By: D. Kong*, S. Yang* & L. Wang*

author keywords: Binary choice model; Latent ignorability; Unmeasured confounding
TL;DR: This paper shows that the causal effect is indeed identifiable if the authors assume a general binary choice model for the outcome with a non-probit link, and develops a two-step likelihood-based estimation procedure. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 21, 2022

2022 article

Improving trial generalizability using observational studies

Lee, D., Yang, S., Dong, L., Wang, X., Zeng, D., & Cai, J. (2022, January 11). BIOMETRICS, Vol. 1.

author keywords: causal inference; double robustness; generalizability; semiparametric efficiency; transportability
TL;DR: A calibration weighting estimator is proposed that enforces the covariate balance between the RCT and OS, therefore improving the trial‐based estimator's generalizability and exploiting semiparametric efficiency theory. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 18, 2022

2022 article

Matrix completion under complex survey sampling

Mao, X., Wang, Z., & Yang, S. (2022, September 19). ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, Vol. 9.

By: X. Mao*, Z. Wang* & S. Yang n

author keywords: Asymptotic upper bound; Augmented inverse probability weighting estimator; Low-rank structure; Missingness at random
Sources: Web Of Science, NC State University Libraries
Added: September 26, 2022

2022 article

Multiply robust estimation of causal effects under principal ignorability

Jiang, Z., Yang, S., & Ding, P. (2022, May 20). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, Vol. 5.

By: Z. Jiang*, S. Yang n & P. Ding*

author keywords: noncompliance; principal stratification; sensitivity analysis; surrogate endpoint; truncation by death
TL;DR: Under principal ignorability, various nonparametric identification formulas for causal effects within principal strata in observational studies are derived, which motivate estimators relying on the correct specifications of different parts of the observed-data distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 31, 2022

2022 article

Multiply robust matching estimators of average and quantile treatment effects

Yang, S., & Zhang, Y. (2022, April 7). SCANDINAVIAN JOURNAL OF STATISTICS, Vol. 4.

By: S. Yang n & Y. Zhang n

author keywords: Bahadur representation; causal effect on the treated; double robustness; quantile estimation; weighted bootstrap
Sources: Web Of Science, NC State University Libraries
Added: April 18, 2022

2022 article

Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling

Gao, C., Thompson, K. J., Kim, J. K., & Yang, S. (2022, May 10). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol. 5.

By: C. Gao n, K. Thompson*, J. Kim n & S. Yang*

author keywords: generalized additive models; hot deck imputation; non-response
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 23, 2022

2022 journal article

Nonparametric Mass Imputation for Data Integration

JOURNAL OF SURVEY STATISTICS AND METHODOLOGY, 10(1), 1–24.

By: S. Chen, S. Yang* & J. Kim

author keywords: Approximate Bayesian; Generalized additive model; Hybrid bootstrap; Kernel smoothing; Missingness at random; Nonprobability sample
TL;DR: This work considers nonparametric mass imputation for data integration using the nonprobability data as the training set for imputation, and considers kernel smoothing for a low-dimensional covariate and generalized additive models for a relatively high- dimensional covariate for imputations. (via Semantic Scholar)
Source: Web Of Science
Added: March 21, 2022

2022 journal article

Outcome-adjusted balance measure for generalized propensity score model selection

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 221, 188–200.

By: H. Zhao n & S. Yang n

author keywords: Generalized propensity score; Model selection; Balance measure
Sources: Web Of Science, NC State University Libraries
Added: June 20, 2022

2022 journal article

ROBUST INFERENCE OF CONDITIONAL AVERAGE TREATMENT EFFECTS USING DIMENSION REDUCTION

STATISTICA SINICA, 32, 547–567.

By: M. Huang & S. Yang*

author keywords: Augmented inverse probability weighting; kernel smooth-ing; matching; U-statistic; weighted bootstrap
TL;DR: This article proposes a double dimension reduction method, which reduces the curse of dimensionality as much as possible while keeping the nonparametric merit, and identifies the central mean subspace of the conditional average treatment effect using dimension reduction. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 7, 2022

2022 journal article

Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations

BIOMETRICS, 78(3), 937–949.

By: S. Yang n

author keywords: causality; counting process; discretization; g‐ estimator; martingale
MeSH headings : Causality; Computer Simulation; Humans; Longitudinal Studies; Models, Statistical; Probability
TL;DR: The first semiparametric efficiency theory and locally efficient estimators for continuous-time SNMMs are developed and an inverse probability of censoring weighting estimator is proposed, which achieves a multiple robustness feature. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: May 17, 2021

2022 article

Sensitivity analyses in longitudinal clinical trials via distributional imputation

Liu, S., Yang, S., Zhang, Y., & Liu, G. (2022, November 6). STATISTICAL METHODS IN MEDICAL RESEARCH, Vol. 11.

By: S. Liu n, S. Yang n, Y. Zhang* & G. Liu*

author keywords: Longitudinal clinical trial; missing data; distributional imputation; multiple imputation; sensitivity analysis
MeSH headings : Models, Statistical; Computer Simulation; Antidepressive Agents / therapeutic use; Monte Carlo Method; Benzenesulfonates
TL;DR: Distributional imputation is proposed in sensitivity analysis, which imputes each missing value by samples from its target imputation model given the observed data, and is fully efficient with theoretical guarantees. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022

2022 article

Spectral adjustment for spatial confounding

Guan, Y., Page, G. L., Reich, B. J., Ventrucci, M., & Yang, S. (2022, December 21). BIOMETRIKA, Vol. 12.

By: Y. Guan*, G. Page*, B. Reich n, M. Ventrucci* & S. Yang n

author keywords: Coherence; Conditional autoregressive prior; COVID-19; Matern covariance; Spatial confounding
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 13, 2023

2022 article

Statistical data integration in survey sampling: a review (vol 3, pg 625, 2020)

Yang, S., & Kim, J. K. (2022, March 28). JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE, Vol. 3.

By: S. Yang n & J. Kim*

Sources: Web Of Science, NC State University Libraries
Added: April 8, 2022

2022 article

Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data

Wu, L., & Yang, S. (2022, November 30). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 11.

By: L. Wu n & S. Yang n

author keywords: Augmented inverse probability weighting; Calibration weighting; Classification error; Covariate shift; Cross-validation; Transportability
TL;DR: To learn the generalizable optimal interpretable ITRs, an integrative transfer learning method based on weighting schemes to calibrate the covariate distribution of the experiment to that of the RWD is proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 20, 2023

2022 article

Treatment-specific marginal structural Cox model for the effect of treatment discontinuation

Johnson, D., Pieper, K., & Yang, S. (2022, March 31). PHARMACEUTICAL STATISTICS, Vol. 3.

By: D. Johnson*, K. Pieper* & S. Yang n

author keywords: articifial censoring; causal inference; discontinuation; inverse probability weighting; time-dependent confounding
MeSH headings : Administration, Oral; Anticoagulants / adverse effects; Atrial Fibrillation / chemically induced; Atrial Fibrillation / drug therapy; Humans; Probability; Proportional Hazards Models
TL;DR: A treatment‐specific marginal structural Cox model is described for estimation of the causal effect of treatment discontinuation on a survival endpoint and a new inverse probability of regime compliance weights are proposed to address the three issues simultaneously. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: April 18, 2022

2022 article

Utilizing stratified generalized propensity score matching to approximate blocked randomized designs with multiple treatment levels

Corder, N., & Yang, S. (2022, June 20). JOURNAL OF BIOPHARMACEUTICAL STATISTICS, Vol. 6.

By: N. Corder n & S. Yang n

author keywords: causal inference; propensity score; matching; multiple treatments; stratification
MeSH headings : Child; Computer Simulation; Humans; Propensity Score; Prospective Studies; Research Design; Retrospective Studies
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 11, 2022

2021 article

A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications

INTERNATIONAL STATISTICAL REVIEW, Vol. 5.

author keywords: interference; potential outcomes; propensity scores; spatial confounding; spillover
TL;DR: The methods are introduced in the context of observational environmental and epidemiological studies and are compared using both a simulation study and analysis of the effect of ambient air pollution on COVID‐19 mortality rate. (via Semantic Scholar)
Source: NC State University Libraries
Added: June 18, 2021

2021 article

Practical recommendations on double score matching for estimating causal effects

Zhang, Y., Yang, S., Ye, W., Faries, D. E., Lipkovich, I., & Kadziola, Z. (2021, December 26). STATISTICS IN MEDICINE, Vol. 12.

By: Y. Zhang n, S. Yang n, W. Ye*, D. Faries*, I. Lipkovich* & Z. Kadziola*

author keywords: average treatment effect on the treated; causal inference; double robustness; prognostic score; propensity score
MeSH headings : Bias; Causality; Computer Simulation; Humans; Propensity Score
TL;DR: DSM is doubly robust in the sense that the matching estimator is consistent requiring either the propensity score model or the prognostic score model is correctly specified, and this study supports that DSM performs favorably with, if not better than, the two single score matching in terms of bias and variance. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

2021 article

Risks associated with discontinuation of oral anticoagulation in newly diagnosed patients with atrial fibrillation: Results from the GARFIELD-AF Registry

Cools, F., Johnson, D., Camm, A. J., Bassand, J.-P., Verheugt, F. W. A., Yang, S., … Kakkar, A. K. (2021, July 23). JOURNAL OF THROMBOSIS AND HAEMOSTASIS, Vol. 7.

By: F. Cools*, D. Johnson n, A. Camm*, J. Bassand*, F. Verheugt*, S. Yang n, A. Tsiatis n, D. Fitzmaurice* ...

author keywords: anticoagulation; antiplatelet; atrial fibrillation; discontinuation; marginal structure models; outcomes
MeSH headings : Administration, Oral; Anticoagulants / adverse effects; Atrial Fibrillation / complications; Atrial Fibrillation / diagnosis; Atrial Fibrillation / drug therapy; Humans; Registries; Risk Factors; Stroke / diagnosis; Stroke / etiology; Stroke / prevention & control
TL;DR: Discontinuation for ≥7 consecutive days was associated with significantly higher all-cause mortality, stroke/SE and MI risk, and caution should be exerted when considering any OAC discontinuation beyond 7 days. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 2, 2021

2021 article

SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale

Yang, S., Zhang, Y., Liu, G. F., & Guan, Q. (2021, September 20). BIOMETRICS, Vol. 9.

By: S. Yang n, Y. Zhang*, G. Liu* & Q. Guan*

author keywords: delta adjustment; jump-to-reference; restrictive mean survival time; restrictive mean time loss; wild-bootstrap
MeSH headings : Models, Statistical; Computer Simulation; Survival Analysis; Research Design
TL;DR: A unified framework for sensitivity analysis to censoring at random in survival data using multiple imputation and martingale, called SMIM, is proposed and the wild bootstrap inference has a theoretical guarantee for consistency and is computationally efficient compared to the nonparametric bootstrap counterpart. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 4, 2021

2020 journal article

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

STATISTICS IN MEDICINE, 39(25), 3503–3520.

By: L. Dong n, E. Laber n, Y. Goldberg*, R. Song n & S. Yang n

author keywords: augmented inverse probability weighting; dynamic treatment regimes; monotonic coarseness; outcome weighted learning; Q-learning
MeSH headings : Computer Simulation; Humans; Models, Statistical; Precision Medicine; Probability
TL;DR: The application of inverse probability weighted estimating equations as an alternative to multiple imputation in the context of monotonic missingness applies to a broad class of estimators of an optimal treatment regime including both Q‐learning and a generalization of outcome weighted learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 17, 2020

2020 report

Double score matching estimators of average and quantile treatment effects

https://arxiv.org/abs/2001.06049

By: S. Yang & Y. Zhang

Source: NC State University Libraries
Added: September 27, 2020

2020 journal article

Doubly robust inference when combining probability and non-probability samples with high dimensional data

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1.

By: S. Yang n, J. Kim* & R. Song n

author keywords: Data integration; Double robustness; Generalizability; Penalized estimating equation; Variable selection
TL;DR: This work considers integrating a non-probability sample with a probability sample which provides high dimensional representative covariate information of the target population and proposes a two-step approach for variable selection and finite population inference. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2020 journal article

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

JOURNAL OF CAUSAL INFERENCE, 8(1), 249–271.

By: N. Corder n & S. Yang n

author keywords: Missing Data; Fractional Imputation; Multiple Imputation
Source: Web Of Science
Added: March 8, 2021

2020 report

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

https://arxiv.org/pdf/1905.11497

By: N. Corder & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2020 report

Integrative analysis of randomized clinicaltrials with real world evidence studies

https://arxiv.org/pdf/2003.01242

By: L. Dong, S. Yang, X. Wang, D. Zeng & J. Cai

Source: NC State University Libraries
Added: September 27, 2020

2020 journal article

Robust estimation for moment condition models with data missing not at random

Journal of Statistical Planning and Inference, 207, 246–254.

By: W. Li*, S. Yang n & P. Han*

author keywords: Identification; Empirical likelihood; Missing not at random; Multiple robustness; Semiparametric maximum likelihood estimator
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 23, 2020

2020 review

Statistical data integration in survey sampling: a review

[Review of ]. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE, 3(2), 625–650.

By: S. Yang n & J. Kim*

author keywords: Generalizability; Meta-analysis; Missing at random; Transportability
TL;DR: This article provides a systematic review of data integration techniques for combining probability samples, probability and non-probability samples, and probability and big data samples and discusses a wide range of integration methods such as generalized least squares, calibration weighting, inverse probability Weighting, mass imputation, and doubly robust methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: October 18, 2021

2020 report

Statistical data integration in survey sampling: a review

https://arxiv.org/abs/2001.03259

By: S. Yang & J. Kim

Source: NC State University Libraries
Added: September 27, 2020

2019 journal article

Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework

Scandinavian Journal of Statistics, 47(3), 839–861.

By: S. Yang n & J. Kim*

author keywords: hot deck imputation; Jackknife variance estimation; martingale central limit theorem; missing at random
TL;DR: This article proposes a new replication variance estimator, which is asymptotically valid, and key strategy is to construct replicates directly based on the linear terms of the martingale representation for the matching estimators, instead of individual records of variables. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: January 6, 2020

2019 journal article

Causal inference with confounders missing not at random

Biometrika, 106(4), 875–888.

By: S. Yang n, L. Wang* & P. Ding*

author keywords: Completeness; Identifiability; Ill-posed inverse problem; Integral equation; Outcome-independent missingness; Two-stage least squares estimator
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2019 journal article

Combining Multiple Observational Data Sources to Estimate Causal Effects

Journal of the American Statistical Association, 6, 1–33.

By: S. Yang n & P. Ding*

author keywords: Calibration; Causal inference; Inverse probability weighting; Missing confounder; Two-phase sampling
TL;DR: This framework applies to asymptotically normal estimators, including the commonly used regression imputation, weighting, and matching estimator, and does not require a correct specification of the model relating the unmeasured confounders to the observed variables. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2019 article

Discussion of "Penalized Spline of Propensity Methods for Treatment Comparison" by Zhou, Elliott, and Little

Yang, S., & Zeng, D. (2019, January 2). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 114, pp. 31–32.

By: S. Yang n & D. Zeng*

TL;DR: The article proposes a novel estimation of the average causal effects of the treatment strategies in the presence of timedependent confounding by indication, and extends the penalized spline of propensity methods in handling missing data to causal inference incorporating a temporal element into consideration. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 1, 2019

2019 journal article

Flexible Imputation of Missing Data, 2nd ed.

Journal of the American Statistical Association, 114(527), 1421–1421.

By: S. Yang n

TL;DR: The main objective of the book is to provide a tool kit for practitioners to execute multiple imputation, and it avoids too much mathematical and technical details and uses graphical tools and visual displays to aid understanding. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2019 report

Matrix completion for survey data prediction with multivariate missingness

https://arxiv.org/pdf/1907.08360

By: X. Mao, Z. Wang & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2019 report

Muti-cause causal inference with unmeasured confounding and binary outcome

https://arxiv.org/pdf/1907.13323

By: D. Kong, S. Yang & L. Wang

Source: NC State University Libraries
Added: September 27, 2020

2019 chapter

Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling

In Advances in Econometrics (pp. 209–234).

By: S. Yang n & J. Kim*

TL;DR: The asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, proportions and quantiles are studied and a novel replication variance estimation is proposed. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2019 report

Nonparametric mass imputation for data integration

(Joint Statistical Meetings Report No. #301796).

By: S. Chen, S. Yang & J. Kim

Source: NC State University Libraries
Added: September 27, 2020

2019 journal article

Semiparametric estimation of structural failure time models in continuous-time processes

Biometrika, 10.

By: S. Yang n, K. Pieper* & F. Cools*

author keywords: Causality; Cox proportional hazards model; Discretization; Observational study; Semiparametric analysis; Survival data
TL;DR: The first semiparametric doubly robust estimators are derived, which are consistent if the model for the treatment process or the failure time model, but not necessarily both, is correctly specified. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2018 journal article

Approximate Bayesian inference under informative sampling

BIOMETRIKA, 105(1), 91–102.

By: Z. Wang*, J. Kim* & S. Yang n

author keywords: Analytic inference; Complex sampling; Predictive inference; Pseudolikelihood
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores

BIOMETRIKA, 105(2), 487–493.

By: S. Yang n & P. Ding*

author keywords: Bootstrap; Limited overlap; Nonsmooth estimator; Potential outcome; Unconfoundedness
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

Discussion: Dissecting Multiple Imputation from a Multi-phase Inference Perspective: What Happens When God's, Imputer's and Analyst's Models are Uncongenial? by X. Xie and X. L. Meng

Statistica Sinica.

By: S. Yang* & J. Kim

Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2018 journal article

Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms

LIFETIME DATA ANALYSIS, 24(2), 201–223.

By: J. Lok*, S. Yang n, B. Sharkey* & M. Hughes*

author keywords: Competing risks; Cumulative incidence function; Dependent censoring; Inverse probability weighting
MeSH headings : Algorithms; Bias; Drug Therapy; HIV Infections / drug therapy; Incidence; Models, Statistical; Multicenter Studies as Topic; Randomized Controlled Trials as Topic; Safety
TL;DR: This work relies on semi-parametric theory to derive an augmented inverse probability of censoring weighted (AIPCW) estimator and applies it to evaluate the safety and efficacy of three anti-HIV regimens in a randomized trial conducted by the AIDS Clinical Trial Group, ACTG A5095. (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

2018 report

Integration of survey and big observational data for finite population inference using mass imputation

https://arxiv.org/abs/1807.02817

By: S. Yang, J. Kim & Y. Hwang

Source: NC State University Libraries
Added: September 27, 2020

2018 journal article

Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach

BIOMETRICS, 74(3), 900–909.

By: S. Yang n, A. Tsiatis n & M. Blazing*

author keywords: Dynamic treatment; Inverse weighting; Observational study; Survival distribution; Time-varying confounding; Treatment discontinuation
MeSH headings : Cardiovascular Diseases / therapy; Computer Simulation; Humans; Kaplan-Meier Estimate; Models, Statistical; Survival Analysis; Time-to-Treatment; Withholding Treatment / statistics & numerical data
TL;DR: The intervention is cast in the form of a dynamic regime “terminate treatment optionally at time v unless a mandatory treatment‐terminating event occurs prior to v” and the distribution of time to event as a function of treatment regime v is considered. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2018 journal article

Propensity Score Weighting for Causal Inference with Clustered Data

Journal of Causal Inference, 6(2).

By: S. Yang n

author keywords: Calibration; Inverse probability weighting; Survey sampling; Unmeasured confounding
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: October 16, 2018

2018 journal article

SENSITIVITY ANALYSIS FOR UNMEASURED CONFOUNDING IN COARSE STRUCTURAL NESTED MEAN MODELS

STATISTICA SINICA, 28(4), 1703–1723.

By: S. Yang n & J. Lok*

author keywords: Censoring; confounding by indication; estimating equations; HIV/AIDS research; non-ignorable; sequential randomization
TL;DR: This work investigates the sensitivity of G-estimators of coarse SNMMs to unmeasured confounding, and applies this to a sensitivity analysis for the effect of the ART initiation time on the mean CD4 count at year 2 after infection in HIV-positive patients, based on the prospective Acute and Early Disease Research Program. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018

2018 journal article

Semiparametric efficient estimation of structural nested mean models with irregularly spaced observations

https://arxiv.org/abs/1810.00042

By: S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2017 journal article

A note on multiple imputation under complex sampling

Biometrika, 104(1), 221–228.

By: J. Kim & S. Yang

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

A semiparametric inference to regression analysis with missing covariates in survey data

Statistica Sinica, 27(1), 261–285.

By: S. Yang* & J. Kim

author keywords: Asymptotic linearization representation; fractional imputation; nonparametric maximum likelihood estimator; nonresponse
Sources: Crossref, NC State University Libraries, Web Of Science
Added: August 6, 2018

2017 journal article

God, devil and guru in the land of multiple imputation discussion

Statistica Sinica, 27(4), 1568–1573.

By: S. Yang & J. Kim

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

A goodness-of-fit test for structural nested mean models

Biometrika, 103(3), 734–741.

By: S. Yang* & J. Lok*

author keywords: Causal inference; Estimating equation; HIV; AIDs; Over-identification restrictions test
TL;DR: A goodness-of-fit test based on modified over-identification restrictions tests for evaluating a treatment effect model is derived, and it is shown that the test is doubly robust in the sense that it has the correct Type I error if either the treatment initiation model or a nuisance regression outcome model is correctly specified. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2016 journal article

A note on multiple imputation for method of moments estimation

Biometrika, 103(1), 244–251.

By: S. Yang* & J. Kim*

author keywords: Bayesian method; Congeniality; Missingness at random; Proper imputation; Survey sampling
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2016 journal article

Fractional Imputation in Survey Sampling: A Comparative Review

Statistical Science, 31(3), 415–432.

By: S. Yang* & J. Kim

author keywords: Item nonresponse; missing at random; Monte Carlo EM; multiple imputation; synthetic imputation
TL;DR: The empirical performance of FI is demonstrated with respect to multiple imputation using a pseudo finite population generated from a sample from the Monthly Retail Trade Survey conducted by the US Census Bureau. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2016 conference paper

Jamming and advanced modular-based blind rendezvous algorithms for cognitive radio networks

2016 IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM).

By: Y. Oh n & D. Thuente n

TL;DR: The Random rendezvous scheme for the asymmetric model is analyzed and shown to be uniformly better than EJS with major performance improvements and significantly smaller theoretical ETTR upper-bounds and similar positive simulation results. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2016 journal article

Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments

BIOMETRICS, 72(4), 1055–1065.

By: S. Yang*, G. Imbens*, Z. Cui*, D. Faries* & Z. Kadziola

author keywords: Generalized propensity score; Matching; Multi-level treatments; Potential outcomes; Subclassification; Unconfoundedness
MeSH headings : Bias; Computer Simulation; Fibromyalgia / therapy; Humans; Models, Statistical; Observational Studies as Topic / statistics & numerical data; Propensity Score; Treatment Outcome
TL;DR: It is shown, using the concept of weak unconfoundedness and the notion of the generalized propensity score, that adjusting for a scalar function of the pret treatment variables removes all biases associated with observed pretreatment variables. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Factors Associated with Parent Concern for Child Weight and Parenting Behaviors

Childhood Obesity, 11(3), 269–274.

By: K. Peyer*, G. Welk*, L. Bailey-Davis*, S. Yang* & J. Kim*

MeSH headings : Adolescent; Adult; Body Mass Index; Child; Educational Status; Female; Health Behavior; Health Knowledge, Attitudes, Practice; Humans; Male; Obesity / epidemiology; Obesity / prevention & control; Obesity / psychology; Parenting / psychology; Parents / education; Parents / psychology; Pennsylvania / epidemiology; Social Perception; Surveys and Questionnaires
TL;DR: Results support the hypothesis that normal weight parents are more likely to engage in healthy behaviors and that overweight parents areMore likely to report concern about child weight, however, overweight parents are also morelikely to acknowledge overweight status in their own child. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2015 journal article

Likelihood-based Inference with Missing Data Under Missing-at-Random

Scandinavian Journal of Statistics, 43(2), 436–454.

By: S. Yang* & J. Kim*

author keywords: confidence interval; fractional imputation; likelihood ratio; nonresponse; profile likelihood ratio
TL;DR: This work has shown that approximating the integral by Monte Carlo sampling does not necessarily lead to a valid likelihood over the entire parameter space because the Monte Carlo samples are generated from a distribution with a fixed parameter value. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2015 report

Semiparametric estimation of spectral density function for irregular spatial data

https://arxiv.org/abs/1508.06886

By: S. Yang & Z. Zhu

Source: NC State University Libraries
Added: September 27, 2020

2014 journal article

Fractional hot deck imputation for robust inference under item nonresponse in survey sampling

Survey Methodology, 40(2), 211–230. https://lib.dr.iastate.edu/stat_las_pubs/116/

By: J. Kim & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

2014 journal article

Variance estimation and kriging prediction for a class of non-stationary spatial models

Statistica Sinica.

By: S. Yang* & Z. Zhu

author keywords: Bandwidth selection; heteroscedasticity; K-fold cross-validation; local polynomial regression; rates of convergence; variance function
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2013 conference paper

Improved estimation for June Area Survey incorporating several information

Proceedings 59th ISI World Statistics Congress, 199–204.

By: J. Kim, Z. Zhu & S. Yang

Event: at Hong Kong, China

Source: NC State University Libraries
Added: September 24, 2020

2013 journal article

Imputation methods for quantile estimation under missing at random

Statistics and Its Interface, 6(3), 369–377.

By: S. Yang*, J. Kim* & D. Shin*

Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2013 journal article

Parametric fractional imputation for mixed models with nonignorable missing data

Statistics and Its Interface, 6(3), 339–347.

By: S. Yang*, J. Kim* & Z. Zhu*

TL;DR: This work develops a parametric fractional imputation (PFI) method, which simplifies the computation associated with the EM algorithm for maximum likelihood estimation with missing data and demonstrates that imputation can significantly reduce the nonresponse bias. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

report

A spatial causal analysis of wildland fire- contributed PM2.5 using numerical model output

Larsen, A., Yang, S., Rappold, A., & Reich, B. https://arxiv.org/pdf/2003.06037

By: A. Larsen, S. Yang, A. Rappold & B. Reich

Source: NC State University Libraries
Added: September 27, 2020

report

A unified framework for causal inference with multiple imputation using martingale

Guan, Q., & Yang, S. https://arxiv.org/pdf/1911.04663

By: Q. Guan & S. Yang

Source: NC State University Libraries
Added: September 27, 2020

report

Causal inference of hazard ratio based on propensity score matching

Tang, S., Yang, S., Wang, T., Cui, Z., Li, L., & Faries, D. https://arxiv.org/pdf/1911.12430

By: S. Tang, S. Yang, T. Wang, Z. Cui, L. Li & D. Faries

Source: NC State University Libraries
Added: September 27, 2020

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