Kernel smoothing, Measurement error, Spline smoothing, Functional data, Mathematical Statistics

Updated: April 8th, 2024 04:40

2024 journal article

Association between F2-isoprostanes and self-reported stressors in pregnant americans of African and European ancestry

*HELIYON*, *10*(3).

author keywords: F2-isoprostane; Psychosocial stress; Pregnant; Depression; Anxiety

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: April 1, 2024

2023 article

Variable selection in function-on-scalar single-index model via the alternating direction method of multipliers

Ghosal, R., & Maity, A. (2023, September 13). *TEST*, Vol. 9.

Sources: Web Of Science, NC State University Libraries

Added: November 27, 2023

2022 journal article

A Score Based Test for Functional Linear Concurrent Regression

*ECONOMETRICS AND STATISTICS*, *21*, 114–130.

author keywords: Functional linear concurrent regression; Hypothesis testing; Score test; Functional principal component analysis

TL;DR:
A novel method for testing the null hypothesis of no effect of a covariate on the response in the context of functional linear concurrent regression is proposed, which uses a one-sided score test approach, which is an extension of the classical score test.
(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: February 7, 2022

2022 journal article

Inference in functional linear quantile regression

*JOURNAL OF MULTIVARIATE ANALYSIS*, *190*.

UN Sustainable Development Goal Categories

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

Sources: Web Of Science, NC State University Libraries

Added: May 23, 2022

2022 journal article

Maternal Mediterranean Diet Adherence and Its Associations with Maternal Prenatal Stressors and Child Growth

*CURRENT DEVELOPMENTS IN NUTRITION*, *6*(11).

author keywords: Mediterranean diet; stressors; child weight; birth outcomes; maternal diet

TL;DR:
If replicated in larger studies, the data suggest that MDA provides a potent avenue by which effects of prenatal stressors on maternal and fetal outcomes can be mitigated to reduce ethnic disparities in childhood obesity.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

5. Gender Equality
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: February 20, 2023

2021 journal article

Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes

*LIFETIME DATA ANALYSIS*, *27*(1), 64–90.

author keywords: Joint models; Association parameters; Frailty model; Linear mixed model; Proportional odds model

MeSH headings : Algorithms; Frailty; Humans; Longitudinal Studies; Monte Carlo Method; Proportional Hazards Models; Survival Analysis

TL;DR:
The authors' proposed joint model estimators are approximately unbiased and produce smaller mean squared errors as compared to the estimators obtained from separate models, which are motivated by a large multicenter study, referred to as the Genetic and Inflammatory Markers of Sepsis study.
(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: December 11, 2020

2021 article

Simultaneous variable selection, clustering, and smoothing in function-on-scalar regression

Mehrotra, S., & Maity, A. (2021, November 22). *CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE*, Vol. 11.

author keywords: Clustering; dimension reduction; Dirichlet process; function-on-scalar regression; variable selection

TL;DR:
This work addresses the problem of multicollinearity in a function‐on‐scalar regression model by using a prior that simultaneously selects, clusters, and smooths functional effects, performing dimension reduction without dropping relevant predictors from the model.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

5. Gender Equality
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: November 29, 2021

2021 article

Variable selection in nonlinear function-on-scalar regression

Ghosal, R., & Maity, A. (2021, September 27). *BIOMETRICS*, Vol. 9.

author keywords: functional data analysis; functional principal component analysis; function-on-scalar regression; NHANES; nonlinear regression; variable selection

MeSH headings : Humans; Nutrition Surveys; Linear Models; Computer Simulation; Nonlinear Dynamics

TL;DR:
The proposed method provides a unified and flexible framework for variable selection in function-on-scalar regression, allowing nonlinear effects of the covariates, and is demonstrated on accelerometer data from the 2003-2004 cohorts of the National Health and Nutrition Examination Survey (NHANES).
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

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

Sources: Web Of Science, NC State University Libraries

Added: October 12, 2021

2021 article

Variable selection in nonparametric functional concurrent regression

Ghosal, R., & Maity, A. (2021, September 24). *CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE*, Vol. 9.

author keywords: Functional data analysis; nonparametric functional concurrent regression; variable selection

TL;DR:
It is shown via numerical simulations that the proposed variable selection method with the non‐convex penalties can identify the true functional predictors with minimal false‐positive rate and negligible false‐negative rate and provides better out‐of‐sample prediction accuracy compared to the FLCM in the presence of nonlinear effects of the functional predictor.
(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 4, 2021

2020 journal article

Robust kernel association testing (RobKAT)

*GENETIC EPIDEMIOLOGY*, *44*(3), 272–282.

author keywords: kernel association test; multimarker hypothesis test; robust regression; schizophrenia; semiparametric

MeSH headings : Algorithms; Computer Simulation; Genetic Association Studies; Humans; Models, Genetic; Polymorphism, Single Nucleotide / genetics; Selection, Genetic

TL;DR:
The proposed robust association test (RobKAT) is evaluated, which is a general and robust kernel association test with a flexible choice of the loss function, no distributional assumptions, and has SKAT and QRKM as special cases.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

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

Added: March 23, 2020

2020 journal article

Variable selection in functional linear concurrent regression

*JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS*, *69*(3), 565–587.

author keywords: Fisheries footprint; Functional linear concurrent regression; Variable selection

TL;DR:
Through simulations, it is illustrated that the variable‐selection method developed can pick out the relevant variables with high accuracy and has minuscule false positive and false negative rate even when data are observed sparsely, are contaminated with noise and the error process is highly non‐stationary.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

14. Life Below Water
(OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: May 18, 2020

2019 journal article

Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect

*Biometrics*, *75*(2), 625–637.

Contributors: N. Zhao ^{*}, H. Zhang ^{*}, J. Clark ^{*}, ^{ n} & M. Wu ^{*}

author keywords: gene-environment interactions; kernel machine testing; likelihood ratio test; multiple variance components; spectral decomposition; unidentifiable conditions

MeSH headings : Computer Simulation; Gene-Environment Interaction; Humans; Likelihood Functions; Models, Genetic; Polymorphism, Single Nucleotide; Regression Analysis; Spatial Analysis

TL;DR:
A kernel machine regression framework is developed to model the overall genetic effect of a SNP‐set, considering the possible GE interaction and a Monte Carlo approach is derived for the finite sample distributions of LRT and RLRT statistics.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

15. Life on Land
(OpenAlex)

Source: ORCID

Added: September 5, 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 comparison of testing methods in scalar-on-function regression

*AStA Advances in Statistical Analysis*, *103*(3), 411–436.

Contributors: M. Tekbudak^{ n}, M. Alfaro-Córdoba ^{*}, ^{ n} & A. Staicu^{ n}

author keywords: Functional regression; Functional linear model; Nonparametric regression; Mixed-effects model; Hypothesis testing

TL;DR:
This article provides an overview of the existing methods for testing both the null hypotheses that there are no relationship and that there is a linear relationship between the functional covariate and scalar response, and a comprehensive numerical comparison of their performance.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Sources: ORCID, Crossref, NC State University Libraries

Added: May 15, 2019

2018 journal article

Additive Function-on-Function Regression

*JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS*, *27*(1), 234–244.

Contributors: J. Kim^{ n}, A. Staicu^{ n} , ^{ n} , R. Carroll ^{*} & D. Ruppert ^{*}

author keywords: Eigenbasis; Functional data analysis; Nonlinear models; Orthogonal projection; Penalized B-splines; Prediction

TL;DR:
A computationally efficient estimation methodology based on a novel combination of spline bases with an eigenbasis to represent the trivariate kernel function is developed to study additive function-on-function regression.
(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

Additive nonlinear functional concurrent model

*Statistics and Its Interface*, *11*(4), 669–685.

Contributors: J. Kim^{*}, ^{ n} & A. Staicu^{ n}

Sources: ORCID, Crossref, NC State University Libraries

Added: September 5, 2019

2018 journal article

Asymptotic theory for varying coefficient regression models with dependent data

*Annals of the Institute of Statistical Mathematics*, *70*(4), 745–759.

Contributors: S. Bandyopadhyay ^{*} & ^{ n}

UN Sustainable Development Goal Categories

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

Source: ORCID

Added: September 4, 2019

2018 journal article

Bayesian comparative study on binary time series

*Journal of Statistical Computation and Simulation*, *88*(14), 2811–2826.

author keywords: DIC; Jeffreys prior; log-marginal likelihood; misclassification error rate; normal prior; prediction; Student's t prior; 62F15

TL;DR:
The results show that the Jeffreys prior perform better in most of the situations for both the simulation and the rainfall data, and among weakly informative priors considered, Student's t prior with 7 degrees of freedom fits the data most adequately.
(via Semantic Scholar)

Sources: Crossref, NC State University Libraries

Added: February 21, 2020

2018 journal article

Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable

*The American Statistician*, *73*(4), 340–349.

Sources: Crossref, NC State University Libraries

Added: February 21, 2020

2018 journal article

Functional interaction-based nonlinear models with application to multiplatform genomics data

*STATISTICS IN MEDICINE*, *37*(18), 2715–2733.

Contributors: C. Davenport ^{*}, ^{ n} & V. Baladandayuthapani ^{*}

author keywords: basis expansion approximation; functional regression; interacting covariates; semiparametric models

MeSH headings : Biometry / methods; Computer Simulation; Genomics; Humans; Nonlinear Dynamics; Regression Analysis

TL;DR:
This paper presents 2 functional regression models that account for this interaction of a scalar exposure that interacts with the functional covariate, and proposes 2 novel estimation procedures for the parameters in these models.
(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

Inference on phenotype-specific effects of genes using multivariate kernel machine regression

*GENETIC EPIDEMIOLOGY*, *42*(1), 64–79.

Contributors: ^{ n} , J. Zhao ^{ n}, P. Sullivan ^{*} & J. Tzeng^{ n}

author keywords: kernel machine; multivariate regression; mixed models; restricted maximum likelihood; variance components

MeSH headings : Age Factors; Antipsychotic Agents / therapeutic use; Computer Simulation; Genetic Markers / genetics; Humans; Likelihood Functions; Models, Genetic; Phenotype; Sex Factors

TL;DR:
An estimation method based on the penalized likelihood approach to estimate phenotype‐specific effects and their corresponding standard errors while accounting for possible correlation among the phenotypes is developed.
(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

On the substructure controls in rare variant analysis: Principal components or variance components?

*GENETIC EPIDEMIOLOGY*, *42*(3), 276–287.

Contributors: Y. Luo ^{ n}, ^{ n} , M. Wu ^{*}, C. Smith^{ n}, Q. Duan ^{*}, Y. Li ^{*}, J. Tzeng^{ n}

author keywords: population substructure; principal components analysis; rare variant association tests; variance components

MeSH headings : Computer Simulation; Confounding Factors, Epidemiologic; Genetic Association Studies; Genetic Variation; Humans; Models, Genetic; Principal Component Analysis

TL;DR:
Evaluating the performance of SKAT coupling with principal components (PC) or variance components (VC) based PS correction methods found that PC‐based methods can account for confounding effects in most scenarios except for admixture, although the number of sufficient PCs depends on the PS complexity and the type of variants used.
(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 personal communication

Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine"

Kong, D., Maity, A., Hsu, F.-C., & Tzeng, J.-Y. (2018, June).

MeSH headings : Biomarkers; Models, Genetic; Models, Statistical

UN Sustainable Development Goal Categories

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

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

Added: October 16, 2018

2017 journal article

A Powerful Test for SNP Effects on Multivariate Binary Outcomes Using Kernel Machine Regression

*Statistics in Biosciences*, *10*(1), 117–138.

Contributors: C. Davenport ^{*}, ^{ n} , P. Sullivan ^{*} & J. Tzeng^{ n}

author keywords: Correlated binary responses; Generalized estimating equations; IBS kernel; Kernel machine; Non-parametric regression

TL;DR:
A score-based test using a non-parametric modeling framework that jointly models the global effect of the marker set and accounts for the non-linear effects and potentially complicated interaction between markers using reproducing kernels is developed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Sources: ORCID, Crossref

Added: September 4, 2019

2017 journal article

A small-sample multivariate kernel machine test for microbiome association studies

*GENETIC EPIDEMIOLOGY*, *41*(3), 210–220.

Contributors: X. Zhan ^{*}, X. Tong^{*}, N. Zhao ^{*}, ^{ n} , M. Wu ^{*} & J. Chen ^{*}

author keywords: Bray-Curtis; kernel association test; multivariate outcomes; small sample; UniFrac

MeSH headings : Adenomatous Polyposis Coli / genetics; Adenomatous Polyposis Coli / microbiology; Case-Control Studies; Computer Simulation; Genetic Association Studies; Genetic Markers / genetics; High-Throughput Nucleotide Sequencing; Humans; Microbiota / genetics; Models, Genetic; Mucous Membrane / microbiology; Phylogeny; Polymorphism, Single Nucleotide / genetics; Sample Size

TL;DR:
The multivariate microbiome regression‐based kernel association test (MMiRKAT) is proposed for testing association between multiple continuous outcomes and overall microbiome composition, where the kernel used in MMiKAT is based on Bray‐Curtis or UniFrac distance.
(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

2017 journal article

Maternal blood cadmium, lead and arsenic levels, nutrient combinations, and offspring birthweight

*BMC Public Health*, *17*(1).

Contributors: Y. Luo^{ n}, L. McCullough ^{*}, J. Tzeng^{ n}, T. Darrah ^{*}, A. Vengosh ^{*}, R. Maguire^{ n}, ^{ n} , C. Samuel-Hodge ^{*}

author keywords: Toxic metals; Dietary nutrients; Birthweight; Epidemiology

MeSH headings : Adult; Arsenic; Birth Weight; Cadmium / blood; Copper / blood; Cross-Sectional Studies; Female; Folic Acid; Heavy Metal Poisoning; Humans; Iron / blood; Lead / blood; Manganese / blood; Maternal Exposure / adverse effects; Metals, Heavy / blood; Poisoning; Selenium / blood; Socioeconomic Factors; Zinc / blood

TL;DR:
The robust and persistent negative associations between some, but not all, nutrient combinations with these ubiquitous environmental contaminants suggest that only some recommended nutrient combinations may mitigate toxic metal exposure in chronically exposed populations.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Sources: ORCID, NC State University Libraries, NC State University Libraries

Added: August 6, 2018

2017 journal article

Nonparametric functional concurrent regression models

*WIREs Computational Statistics*, *9*(2).

Source: ORCID

Added: September 4, 2019

2017 review

Nonparametric functional concurrent regression models

[Review of ]. *Wiley Interdisciplinary Reviews: Computational Statistics*, *9*(2).

Source: NC State University Libraries

Added: August 6, 2018

2017 journal article

Unified variable selection in semi-parametric models

*STATISTICAL METHODS IN MEDICAL RESEARCH*, *26*(6), 2821–2831.

author keywords: Bayesian methods; Gaussian kernel; non-linear effects; transformation; reproducing kernel; variable selection; single nucleotide polymorphisms; DNA methylation

MeSH headings : Bayes Theorem; Biostatistics / methods; Computer Simulation; CpG Islands; DNA Methylation; Epigenesis, Genetic; Humans; Hypersensitivity / genetics; Models, Genetic; Models, Statistical; Monte Carlo Method; Nonlinear Dynamics; Normal Distribution; Polymorphism, Single Nucleotide

TL;DR:
The method to identify informative DNA methylation sites and single nucleotide polymorphisms in a set of genes based on their joint effect on allergic sensitization has the potential to serve as early markers for allergy prediction and consequently benefit medical and clinical research to prevent allergy before its manifestation.
(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

2016 journal article

Classical testing in functional linear models

*JOURNAL OF NONPARAMETRIC STATISTICS*, *28*(4), 813–838.

Contributors: D. Kong ^{*}, A. Staicu^{ n} & ^{ n}

author keywords: Asymptotic distribution; functional principal component analysis; functional linear model; hypothesis testing

TL;DR:
This work extends four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate.
(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

2016 journal article

Interaction models for functional regression

*Computational Statistics & Data Analysis*, *94*, 317–329.

Contributors: J. Usset^{*}, A. Staicu^{ n} & ^{ n}

author keywords: Functional regression; Hypothesis testing; Interaction; Spline smoothing

TL;DR:
A functional regression model with a scalar response and multiple functional predictors is proposed that accommodates two-way interactions in addition to their main effects, and a hypothesis testing procedure for the functional interaction effect is described.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Sources: ORCID, Crossref, NC State University Libraries

Added: September 4, 2019

2016 chapter

Marker-set Approaches for Assessing Gene-Environment Interactions at Gene Level

In *Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes*.

Source: ORCID

Added: September 4, 2019

2016 journal article

Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine

*BIOMETRICS*, *72*(2), 364–371.

Contributors: D. Kong ^{*}, ^{ n} , F. Hsu^{*} & J. Tzeng^{ n}

author keywords: Bootstrap; Genetic marker-set association; Kernel machines; Permutation; Quantile regression; Semiparametric; Smoothing parameter; Testing

MeSH headings : Algorithms; Biomarkers; Biometry / methods; Clinical Trials as Topic; Computer Simulation; Genetic Association Studies; Homocysteine / blood; Humans; Linear Models; Models, Genetic; Models, Statistical; Polymorphism, Single Nucleotide; Regression Analysis

TL;DR:
An efficient algorithm is proposed to solve the corresponding optimization problem for estimating the effects of covariates and also a powerful test is introduced for detecting the overall effect of the marker set.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Sources: ORCID, Web Of Science

Added: August 6, 2018

2016 journal article

Testing for additivity in non-parametric regression

*CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE*, *44*(4), 445–462.

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

2016 journal article

Variable selection in semi-parametric models

*STATISTICAL METHODS IN MEDICAL RESEARCH*, *25*(4), 1736–1752.

Contributors: H. Zhang ^{*}, ^{ n} , H. Arshad^{*}, J. Holloway ^{*}, W. Karmaus ^{*}, A. Lawson, D. Lee, Y. MacNab

author keywords: Bayesian methods; Gaussian kernel; non-linear effects; partially linear regression; probit regression; reproducing kernel; variable selection

MeSH headings : Bayes Theorem; Cotinine / analysis; CpG Islands; Creatinine / metabolism; Cytochrome P-450 CYP1A1 / genetics; DNA Methylation; Datasets as Topic; Epistasis, Genetic; Female; Humans; Linear Models; Mothers; Normal Distribution; Pregnancy; Smoking / genetics

TL;DR:
Bayesian variable selection methods in semi-parametric models in the framework of partially linear Gaussian and problit regressions can efficiently select the correct variables regardless of the feature of the effects, linear or non-linear in an unknown form.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

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

Added: August 6, 2018

2015 journal article

Complete Effect-Profile Assessment in Association Studies With Multiple Genetic and Multiple Environmental Factors

*GENETIC EPIDEMIOLOGY*, *39*(2), 122–133.

Contributors: Z. Wang^{ n}, ^{ n} , Y. Luo^{ n}, M. Neely ^{*} & J. Tzeng^{ n}

author keywords: factor-set association analysis; kernel machine regression; genetic-environmental interactions; joint and conditional tests

MeSH headings : Computer Simulation; Environment; Gene-Environment Interaction; Genetic Predisposition to Disease; Genome-Wide Association Study / methods; Humans; Models, Genetic; Software

TL;DR:
The issues encountered in constructing kernels for investigating interactions between two factor‐sets are illustrated, and a simple yet intuitive solution to construct the G×E kernel that retains the ease‐of‐interpretation of classic regression is proposed.
(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

2015 journal article

Glacier Terminus Estimation from Landsat Image Intensity Profiles

*Journal of Agricultural, Biological, and Environmental Statistics*, *20*(2), 279–298.

Contributors: J. Usset^{*}, ^{ n} , A. Staicu^{ n} & A. Schwartzman ^{ n}

UN Sustainable Development Goal Categories

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

13. Climate Action
(OpenAlex)

Sources: ORCID, Crossref, NC State University Libraries

Added: September 4, 2019

2015 journal article

Global Analysis of Methylation Profiles From High Resolution CpG Data

*GENETIC EPIDEMIOLOGY*, *39*(2), 53–64.

Contributors: N. Zhao ^{*}, D. Bell ^{*}, ^{ n} , A. Staicu^{ n} , B. Joubert ^{*}, S. London ^{*}, M. Wu ^{*}

author keywords: density approximation; epigenome wide association study; global testing; spline smoothing; variance component testing

MeSH headings : Alcoholism / genetics; Arthritis, Rheumatoid / genetics; Case-Control Studies; CpG Islands / genetics; DNA Methylation; Epigenesis, Genetic / genetics; Epigenomics; Genome / genetics; Hepatitis C / genetics; Humans; Internet; Long Interspersed Nucleotide Elements / genetics; Models, Genetic; Software

TL;DR:
A new strategy for global analysis of methylation profiles using a functional regression approach wherein either the density or the cumulative distribution function of the methylation values for each individual using B‐spline basis functions is approximate.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

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

Added: August 6, 2018

2015 journal article

Module-based association analysis for omics data with network structure.

*PLoS ONE*, *10*(3), 0122309.

Contributors: Z. Wang ^{ n}, ^{ n} , C. Hsiao ^{*}, D. Voora ^{*}, R. Kaddurah-Daouk ^{*} & J. Tzeng ^{ n}

MeSH headings : Algorithms; Computational Biology / methods; Computer Simulation; Gene Regulatory Networks; Humans; Polymorphism, Single Nucleotide

TL;DR:
This work constructs the con-nectivity kernel and the topology kernel to capture the relationship among bio-elements in a mod-ule, and uses a kernel machine framework to evaluate the joint effect of bio-Elements.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Source: ORCID

Added: September 4, 2019

2015 journal article

Parametrically guided estimation in nonparametric varying coefficient models with quasi-likelihood

*JOURNAL OF NONPARAMETRIC STATISTICS*, *27*(2), 195–213.

Contributors: C. Davenport ^{ n}, ^{ n} & Y. Wu^{ n}

author keywords: nonparametric regression; varying coefficient model; generalised linear models; local polynomial smoothing; parametrically guided estimation; 62G08; 62J12

TL;DR:
A guided estimation procedure for the nonparametric VCMs is developed and asymptotic properties are established for the guided estimators and a method of bandwidth selection via bias-variance tradeoff is proposed.
(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

2015 journal article

Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)

*STATISTICS AND ITS INTERFACE*, *8*(4), 495–505.

Contributors: E. Urrutia^{*}, S. Lee ^{*}, ^{ n} , N. Zhao ^{*}, J. Shen ^{*}, Y. Li ^{*}, M. Wu ^{*}

author keywords: Rare variants; Perturbation; Sequence kernel association test; Sequencing association studies

TL;DR:
The Multi-Kernel SKAT (MK-SKAT) is developed which tests across a range of rare variant tests and groupings and demonstrates that several popular rare variants tests are special cases of the sequence kernel association test which compares pair-wise similarity in trait value to similarity in the rare variant genotypes between subjects as measured through a kernel function.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

1. No Poverty
(OpenAlex)

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

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

Added: August 6, 2018

2014 journal article

Analysis of in vitro fertilization data with multiple outcomes using discrete time-to-event analysis

*STATISTICS IN MEDICINE*, *33*(10), 1738–1749.

Contributors: ^{ n} , P. Williams ^{*}, L. Ryan ^{*}, S. Missmer ^{*}, B. Coull ^{*} & R. Hauser ^{*}

author keywords: mixed model; in vitro fertilization; survival data

MeSH headings : Adult; Data Interpretation, Statistical; Female; Fertilization in Vitro / methods; Fertilization in Vitro / standards; Humans; Male; Massachusetts; Models, Statistical; Odds Ratio; Pregnancy; Risk Factors

UN Sustainable Development Goal Categories

5. Gender Equality
(Web of Science)

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

Added: August 6, 2018

2014 journal article

Short-Term airborne particulate matter exposure alters the epigenetic landscape of human genes associated with the mitogen-Activated protein kinase network: A cross-sectional study

*Environmental Health: A Global Access Science Source*, *13*(1), 94.

Contributors: J. Carmona, T. Sofer ^{*}, J. Hutchinson, L. Cantone ^{*}, B. Coull ^{*}, ^{ n} , P. Vokonas^{*}, X. Lin ^{*}, J. Schwartz, A. Baccarelli ^{*}

MeSH headings : Aged; Aged, 80 and over; Air Pollutants / toxicity; Carbon / toxicity; DNA Methylation; Environmental Monitoring; Epigenesis, Genetic; Gene-Environment Interaction; Humans; Male; Middle Aged; Mitogen-Activated Protein Kinases / genetics; NF-kappa B / genetics; Particulate Matter / toxicity; Promoter Regions, Genetic; Sulfates / toxicity

TL;DR:
Exposure to short-term air pollution components resulted in quantifiable epigenetic changes in the promoter areas of MAPK pathway genes, suggesting that these alterations might affect biological pathways in nuanced ways that are not simply additive or fully predictable via individual-level exposure assessments.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

11. Sustainable Cities and Communities
(Web of Science)

Sources: ORCID, NC State University Libraries, NC State University Libraries

Added: August 6, 2018

2013 article

Design and Analysis Issues in Gene and Environment Studies

*Exploring Connections Between Genetic Mechanisms and Disease Expression*, Vol. 11, p. 339â370.

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2013 journal article

Exposure to airborne particulate matter is associated with methylation pattern in the asthma pathway

*EPIGENOMICS*, *5*(2), 147–154.

Contributors: T. Sofer ^{*}, A. Baccarelli, L. Cantone ^{*}, B. Coull ^{*}, ^{ n} , X. Lin ^{*}, J. Schwartz

author keywords: black carbon; epigenetics; gene-specific methylation scores; pathway analysis; sulfate

MeSH headings : Aged; Aged, 80 and over; Air Pollution; Asthma / chemically induced; Asthma / genetics; Asthma / pathology; Carbon / toxicity; DNA Methylation / drug effects; Epigenesis, Genetic / drug effects; Humans; Male; Metabolic Networks and Pathways / genetics; Middle Aged; Particulate Matter / toxicity; Promoter Regions, Genetic; Sulfates / toxicity

TL;DR:
Exposure to black carbon and sulfate were significantly associated with the methylation pattern in the asthma pathway and the effect of air pollution on asthmatic and respiratory responses may be mediated through gene methylation.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

11. Sustainable Cities and Communities
(Web of Science)

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

Added: August 6, 2018

2013 journal article

Kernel Machine SNP-Set Testing Under Multiple Candidate Kernels

*GENETIC EPIDEMIOLOGY*, *37*(3), 267–275.

Contributors: M. Wu ^{*}, ^{ n} , S. Lee ^{*}, E. Simmons ^{*}, Q. Harmon ^{*}, X. Lin ^{*}, S. Engel ^{*}, J. Molldrem ^{*}, P. Armistead^{*}

author keywords: genetic association studies; kernel machines; multi-SNP analysis; similarity-based testing; SNP sets

MeSH headings : Computer Simulation; Female; Genetic Association Studies; Genetic Predisposition to Disease; Humans; Infant, Newborn; Models, Genetic; Phenotype; Polymorphism, Single Nucleotide; Pregnancy; Premature Birth / genetics; Software

TL;DR:
Practical strategies for KM testing when multiple candidate kernels are present based on constructing composite kernels and based on efficient perturbation procedures are proposed and demonstrated to lead to substantially improved power over poor choices of kernels and only modest differences in power vs. using the best candidate kernel.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

1. No Poverty
(OpenAlex)

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

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

Added: August 6, 2018

2013 journal article

Parameter Estimation of Partial Differential Equation Models

*JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION*, *108*(503), 1009–1020.

Contributors: X. Xun^{*}, J. Cao ^{*}, B. Mallick ^{*}, ^{*} & R. Carroll ^{ n}

author keywords: Asymptotic theory; Basis function expansion; Bayesian method; Differential equations; Measurement error; Parameter cascading

TL;DR:
Simulation studies show that the Bayesian method and parameter cascading method are comparable, and both outperform other available methods in terms of estimation accuracy.
(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

2013 journal article

Parametrically guided generalised additive models with application to mergers and acquisitions data

*JOURNAL OF NONPARAMETRIC STATISTICS*, *25*(1), 109–128.

Contributors: J. Fan ^{*}, ^{ n} , Y. Wang ^{*} & Y. Wu^{ n}

author keywords: generalised additive model; leveraged buyout; local polynomial; mergers and acquisitions; parametric guide

TL;DR:
An estimation procedure where the prior information is used as a parametric guide to fit the additive model is proposed and it is shown that when a good guide is chosen, the asymptotic variance of the estimates can be reduced significantly while keeping theAsymptosis variance same as the unguided estimator.
(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

2013 journal article

Variable selection in generalized functional linear models

*Stat*, *2*(1), 86–101.

Contributors: J. Gertheiss ^{*}, ^{ n} & A. Staicu^{ n}

UN Sustainable Development Goal Categories

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

16. Peace, Justice and Strong Institutions
(OpenAlex)

Sources: ORCID, Crossref, NC State University Libraries

Added: September 4, 2019

2012 journal article

A powerful test for comparing multiple regression functions

*JOURNAL OF NONPARAMETRIC STATISTICS*, *24*(3), 563–576.

author keywords: bootstrap; comparison of regression functions; generalised likelihood ratio; kernel regression; local likelihood; nonparametric regression

TL;DR:
This article proposes a test for equality of the θ j (·) based on the concept of generalised likelihood ratio type statistics and generalises this test for other nonparametric regression set-ups.
(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

2012 journal article

Association of Hexachlorobenzene (HCB), Dichlorodiphenyltrichloroethane (DDT), and Dichlorodiphenyldichloroethylene (DDE) with in Vitro Fertilization (IVF) Outcomes

*ENVIRONMENTAL HEALTH PERSPECTIVES*, *120*(2), 316–320.

Contributors: S. Mahalingaiah ^{*}, S. Missmer ^{*}, ^{ n} , P. Williams ^{*}, J. Meeker ^{*}, K. Berry^{*}, S. Ehrlich, M. Perry ^{*}, D. Cramer ^{*}, R. Hauser ^{*}

author keywords: assisted reproduction; dichlorodiphenyldichloroethylene; dichlorodiphenyltrichloroethane; hexachlorobenzene; prospective cohort

MeSH headings : Abortion, Spontaneous / chemically induced; Abortion, Spontaneous / epidemiology; Adult; Boston / epidemiology; Case-Control Studies; Cohort Studies; DDT / blood; DDT / toxicity; Dichlorodiphenyl Dichloroethylene / blood; Dichlorodiphenyl Dichloroethylene / toxicity; Embryo Implantation / drug effects; Environmental Exposure; Environmental Pollutants / blood; Environmental Pollutants / toxicity; Female; Fertilization in Vitro / drug effects; Hexachlorobenzene / blood; Hexachlorobenzene / toxicity; Humans; Pregnancy; Pregnancy Outcome / epidemiology

TL;DR:
Serum HCB concentrations were on average lower than that of the general U.S. population and associated with failed implantation among women undergoing IVF, and showed a significantly increasing trend.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

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

Added: August 6, 2018

2012 journal article

Design and analysis issues in gene and environment studies

*Environmental Health: A Global Access Science Source*, *11*(1).

Contributors: C. Liu ^{*}, ^{*} , X. Lin ^{*}, R. Wright ^{*} & D. Christiani^{*}

author keywords: Gene-environment; Interactions; Expanded environmental genomic disease paradigm; Critical developmental windows; Genome-wide; Epigenetics

MeSH headings : Confounding Factors, Epidemiologic; Environmental Exposure; Epidemiologic Research Design; Epidemiologic Studies; Epigenesis, Genetic; Gene-Environment Interaction; Humans; Selection Bias

TL;DR:
The purpose of this review is to discuss design and analytic issues for gene-environment interaction studies in the “-omics” era, with a focus on environmental and genetic epidemiological studies, and presents an expanded environmental genomic disease paradigm.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Source: ORCID

Added: September 4, 2019

2012 review

Design and analysis issues in gene and environment studies

[Review of ]. *Environmental Health*, *11*.

Source: NC State University Libraries

Added: August 6, 2018

2012 journal article

Multivariate Gene Selection and Testing in Studying the Exposure Effects on a Gene Set

*Statistics in Biosciences*, *4*(2), 319–338.

Contributors: T. Sofer ^{*}, ^{ n} , B. Coull ^{*}, A. Baccarelli ^{*}, J. Schwartz ^{*} & X. Lin ^{*}

author keywords: Canonical correlation analysis; Epigenetics; Global test; Sparsity; Variable selection; Tuning parameter

TL;DR:
Two computationally simple Canonical Correlation Analysis (CCA) based variable selection methods are proposed, to jointly select a subset of genes in a gene set that are associated with exposures that allow for better understanding of the underlying biological mechanism and for pursuing further biological investigation of these genes.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

Source: ORCID

Added: September 4, 2019

2012 journal article

Multivariate Phenotype Association Analysis by Marker-Set Kernel Machine Regression

*GENETIC EPIDEMIOLOGY*, *36*(7), 686–695.

Contributors: ^{ n} , P. Sullivan ^{*} & J. Tzeng^{ n}

author keywords: kernel machine regression; multivariate regression; multivariate phenotypes; score-based test

MeSH headings : Antipsychotic Agents / therapeutic use; Chromosomes, Human, Pair 6; Computer Simulation; Genetic Markers; Genome-Wide Association Study; Herpesviridae Infections / genetics; Herpesviridae Infections / immunology; Herpesviridae Infections / virology; Humans; Models, Genetic; Models, Statistical; Multivariate Analysis; Phenotype; Polymorphism, Single Nucleotide; Regression Analysis; Schizophrenia / drug therapy; Schizophrenia / genetics; Schizophrenia / virology

TL;DR:
A multivariate regression based on kernel machine is constructed to facilitate the joint evaluation of multimarker effects on multiple phenotypes and illustrates the utility of the multivariate kernel machine method through the Clinical Antipsychotic Trails of Intervention Effectiveness antibody study.
(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

2012 journal article

Partially linear varying coefficient models stratified by a functional covariate

*STATISTICS & PROBABILITY LETTERS*, *82*(10), 1807–1814.

Contributors: ^{ n} & J. Huang ^{*}

author keywords: Functional regression; Kernel smoothing; Profile method; Semi-varying coefficient model

TL;DR:
This work shows the consistency of the nonparametric functional estimates and derive the asymptotic expansion of the estimates of the parametric component of the model and develops a kernel-based and a profiling estimator.
(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

2012 journal article

Power of a reproducing kernel-based method for testing the joint effect of a set of single-nucleotide polymorphisms

*GENETICA*, *140*(10-12), 421–427.

Contributors: H. He ^{*}, H. Zhang ^{*}, ^{ n} , Y. Zou^{*}, J. Hussey^{*} & W. Karmaus ^{*}

author keywords: Reproducing kernels; SNP; Mixed linear models; Testing power; Variable selection

MeSH headings : Algorithms; Asthma / genetics; Computer Simulation; Databases, Genetic; Humans; Lung Diseases / genetics; Polymorphism, Single Nucleotide; Sample Size; Software

TL;DR:
It was found that in addition to the effect of sample size, the testing power was impacted by the strength of association between SNPs and the outcome of interest, and by the SNP similarity among the subjects.
(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

2012 journal article

Testing for spatial isotropy under general designs

*Journal of Statistical Planning and Inference*, *142*(5), 1081â1091.

author keywords: Anisotropy; Covariogram; Isotropy; Spatial bootstrap; Spatial statistics

TL;DR:
This paper forms a test of isotropy for spatial observations located according to a general class of stochastic designs and applies it to a data set on longleaf pine trees from an oldgrowth forest in the southern United States.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(Web of Science)

15. Life on Land
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2011 journal article

Analysis of Sabine river flow data using semiparametric spline modeling

*JOURNAL OF HYDROLOGY*, *399*(3-4), 274–280.

Contributors: S. Bandyopadhyay ^{*} & ^{ n}

author keywords: Sabine river; Semiparametric model; Spline

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

2011 journal article

Estimation via corrected scores in general semiparametric regression models with error-prone covariates

*ELECTRONIC JOURNAL OF STATISTICS*, *5*, 1424–1449.

author keywords: Generalized estimating equations; generalized linear mixed models; kernel method; measurement error; Monte Carlo Corrected Score; semiparametric regression

TL;DR:
This paper considers the problem of estimation in a general semiparametric regression model when error-prone covariates are modeled parametrically while covariates measured without error are modeled nonparametrically and proposes methodology which offers a simple implementation.
(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

2011 journal article

Inferences for the ratio: Fieller's interval, log ratio, and large sample based confidence intervals

*ASTA-ADVANCES IN STATISTICAL ANALYSIS*, *95*(3), 313–323.

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

2011 journal article

Powerful Tests for Detecting a Gene Effect in the Presence of Possible Gene-Gene Interactions Using Garrote Kernel Machines

*BIOMETRICS*, *67*(4), 1271–1284.

Contributors: ^{ n} & X. Lin ^{*}

author keywords: Garrote; Gene-gene interaction; Kernel machine; Mixed models; Restricted maximum likelihood; Score test; Semiparametric regression

MeSH headings : Algorithms; Artificial Intelligence; Biomarkers, Tumor / genetics; Genetic Predisposition to Disease / epidemiology; Genetic Predisposition to Disease / genetics; Humans; Male; Michigan / epidemiology; Prostatic Neoplasms / epidemiology; Prostatic Neoplasms / genetics; Protein Interaction Mapping / methods

TL;DR:
A key feature of the proposed test is that it is flexible and developed for both parametric and nonparametric models within a unified framework, and is more powerful than the standard test by accounting for the correlation among genes and hence often uses a much smaller degrees of freedom.
(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, ORCID, NC State University Libraries

Added: August 6, 2018

2011 journal article

Semi-Automated Scoring of Triple-probe FISH in Human Sperm: Methods and Further Validation

*CYTOMETRY PART A*, *79A*(8), 661–666.

Contributors: M. Perry ^{*}, X. Chen, M. Mcauliffe, ^{ n} & G. Deloid

author keywords: aneuploidy; chromosomal aberrations; in situ hybridization; fluorescence; reproduction; sperm

MeSH headings : Adolescent; Adult; Aneuploidy; Chromosomes, Human, Pair 18 / genetics; Chromosomes, Human, X / genetics; Chromosomes, Human, Y / genetics; Humans; In Situ Hybridization, Fluorescence / methods; Male; Middle Aged; Sex Chromosome Aberrations; Spermatozoa / pathology; Uniparental Disomy / cytology

TL;DR:
This is the largest study to date to provide estimates of sex chromosome disomy among men attending fertility clinics and validate that semi‐automated methods can be used to score sperm disomy with results comparable to manual methods.
(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

2011 journal article

Serum Concentrations of Polychlorinated Biphenyls in Relation to in Vitro Fertilization Outcomes

*ENVIRONMENTAL HEALTH PERSPECTIVES*, *119*(7), 1010–1016.

Contributors: J. Meeker ^{*}, ^{ n} , S. Missmer ^{*}, P. Williams ^{*}, S. Mahalingaiah ^{*}, S. Ehrlich, K. Berry^{*}, L. Altshul

author keywords: environment; epidemiology; female; organochlorine; reproduction

MeSH headings : Abortion, Spontaneous / chemically induced; Abortion, Spontaneous / epidemiology; Adult; Boston / epidemiology; Cohort Studies; Embryo Implantation / drug effects; Environmental Exposure; Environmental Pollutants / blood; Environmental Pollutants / toxicity; False Positive Reactions; Female; Fertilization in Vitro / drug effects; Humans; Polychlorinated Biphenyls / blood; Polychlorinated Biphenyls / toxicity; Pregnancy; Pregnancy Outcome / epidemiology

TL;DR:
Serum PCB concentrations at levels similar to the U.S. general population were associated with failed implantation among women undergoing IVF, and may help explain previous reports of reduced fecundability among women exposed to PCBs.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

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

Added: August 6, 2018

2011 journal article

Testing for constant nonparametric effects in general semiparametric regression models with interactions

*STATISTICS & PROBABILITY LETTERS*, *81*(7), 717–723.

Contributors: J. Wei ^{*}, R. Carroll ^{*} & ^{ n}

author keywords: Function estimation; Generalized likelihood ratio; Interactions; Nonparametric regression; Partially linear logistic model

TL;DR:
A generalized likelihood ratio test is derived for testing for a constant nonparametric effect in a general semi-parametric regression model when there is the potential for interaction between the parametrically and nonparametrically modeled variables.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

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

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

Added: August 6, 2018

2010 conference paper

Particulate Air Pollution Modifies Methylation Of NFKb Pathways

*C16. GENETICS OF LUNG DISEASE AND GENE: ENVIRONMENT INTERACTIONS*, *5*.

Source: ORCID

Added: September 4, 2019

2010 chapter

Proportional Hazards Regression Using Bayesian Kernel Machines

In *Bayesian Modeling in Bioinformatics*.

Source: ORCID

Added: September 4, 2019

2010 journal article

Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data

*Journal of the American Statistical Association*, *105*(489), 390â400.

Contributors: L. Zhou ^{*}, J. Huang ^{*}, J. Martinez^{*}, R. Carroll ^{*}, ^{*} & V. Baladandayuthapani ^{*}

author keywords: Longitudinal data; Penalized splines; Principal components; Reduced rank models

TL;DR:
This work proposes a general framework of functional mixed effects model for within-unit and within-subunit variations are modeled through two separate sets of principal components; the subunit level functions are allowed to be correlated.
(via Semantic Scholar)

Source: ORCID

Added: September 4, 2019

2009 journal article

Efficient Semiparametric Marginal Estimation for the Partially Linear Additive Model for Longitudinal/Clustered Data

*Stat Biosci*, *1*(1), 10â31.

author keywords: Additive models; Generalized least squares; Interaction testing; Nonparametric regression; Partially linear model; Repeated measures; Smooth backfitting; Tukey-type models

TL;DR:
The behavior of nonparametric estimators for additive models with repeated measures when the underlying model is not additive is described, which is critical when one considers variants of the basic additive model.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2009 journal article

Nonparametric Additive Regression for Repeatedly Measured Data

*Biometrika*, *96*(2), 383–398.

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2009 journal article

SIMEX and standard error estimation in semiparametric measurement error models

*Electronic Journal of Statistics*, *3*(0), 318â348.

author keywords: Berkson measurement errors; measurement error; misspecified models; nonparametric regression; radiation epidemiology; semiparametric models; SIMEX; simulation-extrapolation; standard error estimation; uniform expansions

TL;DR:
The standard error method represents a new method for estimating variability of nonparametric estimators in semiparametric problems, and it is found that for estimating the parametric part of the model, standard bandwidth choices of order O(n(-1/5)) are sufficient to ensure asymptotic normality, and undersmoothing is not required.
(via Semantic Scholar)

Source: ORCID

Added: September 4, 2019

2009 journal article

Testing in semiparametric models with interaction, with applications to gene-environment interactions

*Journal of the Royal Statistical Society. Series B: Statistical Methodology*, *71*(1), 75â96.

Contributors: ^{*} , R. Carroll ^{*}, E. Mammen^{*} & N. Chatterjee ^{*}

author keywords: Additive models; Diplotypes; Function estimation; Non-parametric regression; Omnibus hypothesis testing; Partially linear model; Repeated measures; Score test; Semiparametric models; Smooth backfitting; Tukey's 1 degree-of-freedom model

TL;DR:
It is found that the score test in this type of model, as recently developed by Chatterjee and co‐workers in the fully parametric setting, is biased and requires undersmoothing to be valid in the presence of non‐parametric components.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2008 thesis

Efficient Inference in General Semiparametric Regression Models

http://oaktrust.library.tamu.edu/handle/1969.1/ETD-TAMU-3075

Source: ORCID

Added: September 4, 2019

2008 journal article

Efficient estimation of population quantiles in general semiparametric regression models

*Statistics and Probability Letters*, *78*(16), 2744â2750.

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2008 article

Estimation of population-level summaries in general semiparametric repeated measures regression models

*Collections*, p. 123â137.

Source: ORCID

Added: September 4, 2019

2008 journal article

On adaptive linear regression

*Journal of Applied Statistics*, *35*(12), 1409â1422.

author keywords: adaptive regression; heavy-tailed error; least absolute deviation regression; mean squared error; ordinary least-squares regression

TL;DR:
This paper proposes an easy to compute adaptive estimator which is simply a linear combination of OLS and LAD and demonstrates large sample normality of the estimator and shows that its performance is close to best for both light-tailed and heavy-tailed error distributions.
(via Semantic Scholar)

Source: ORCID

Added: September 4, 2019

2007 journal article

Comments on: Nonparametric inference with generalized likelihood ratio tests

*Test*, *16*(3), 456â458.

Contributors: R. Carroll ^{*} & ^{*}

Source: ORCID

Added: September 4, 2019

2007 journal article

Efficient estimation of population-level summaries in general semiparametric regression models

*Journal of the American Statistical Association*, *102*(477), 123–139.

Contributors: ^{*} , Y. Ma ^{*} & R. Carroll ^{*}

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

Source: ORCID

Added: September 4, 2019

2006 journal article

The two-sample t test with one variance unknown

*American Statistician*, *60*(2), 163–166.

author keywords: Behrens-Fisher; moments; Satterthwaite

Source: ORCID

Added: September 4, 2019

2005 journal article

A Perturbation Technique for Sample Moment Matching in Kernel Density Estimation

*Calcutta Statistical Association Bulletin*.

Source: ORCID

Added: September 5, 2019

Updated: September 14th, 2016 22:57

2010 - present

2008 - 2010

Updated: September 4th, 2019 21:34

2005 - 2008

2003 - 2005

2000 - 2003

Funding history based on the linked ORCID record. Updated: May 7th, 2020 22:19

grant
September 6, 2019 - June 30, 2024

Characterizing the Human Imprint Regulatory Regions Associated with Childhood Obesity

National Institute of Child Health and Human Development

grant
January 1, 2011 - December 31, 2014

Statistical Methods for Analysis of High-Dimensional Gene and Environment Data

National Institute of Environmental Health Sciences

grant
May 1 - December 31, 2010

Statistical Methods for Analysis of High-Dimensional Gene and Environment Data

National Institute of Environmental Health Sciences

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