Arnab Maity
Kernel smoothing, Measurement error, Spline smoothing, Functional data, Mathematical Statistics
Arnab Maity is an Associate Professor in the Department of Statistics, North Carolina State University. Dr. Maity's primary interest is to develop rigorous statistical methodology in the context of real data emerging from various fields such as gene and environment studies, environmental epidemiology, epigenetics, nutrition, etc. Dr. Maity obtained his Bachelor's degree in Statistics from Indian Statistical Institute, Calcutta in 2003, and obtained his doctoral degree from Texas A&M University in 2008. He worked as a research fellow during 2008-2010 in the Biostatistics department at Harvard School of Public Health before joining NC State in 2010. Dr. Maity’s primary research areas include Functional data analysis, Kernel machine regression, Semiparametric regression and inference. His research has been applied to many areas including gene and environment studies, environmental epidemiology and epigenetics. Dr. Maity received the Noether Young Scholar Award in 2014, awarded by The American Statistical Association, for outstanding early-career contributions to nonparametric statistics.
Works (80)
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
open access via www.cell.com (publisher PDF)
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 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.
author keywords: Alternating direction method of multipliers; Single index model; Functional data analysis; Variable selection; Function-on-scalar regression
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 27, 2023
2022 journal article
Inference in functional linear quantile regression
JOURNAL OF MULTIVARIATE ANALYSIS, 190.
author keywords: Composite quantile regression; Functional principal component analysis; Functional quantile regression; Measurement error; Wald test
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)
Sources: Web Of Science, NC State University Libraries
Added: February 20, 2023
2021 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
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
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
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 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 nonlinear functional concurrent model
Statistics and Its Interface, 11(4), 669–685.
Contributors: J. Kim*, n & A. Staicu n
TL;DR:
A flexible regression model is proposed to study the association between a functional response and multiple functional covariates that are observed on the same domain by relating the mean of the current response to current values of the covariates by a sum of smooth unknown bivariate functions.
(via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: September 5, 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
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
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
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
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
2017 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
author keywords: Kernel smoothing; Local polynomial estimation; Spatially autoregressive errors; Varying coefficient model
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: September 4, 2019
2017 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
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).
TL;DR:
In the past decade, several methods have been proposed to perform estimation, prediction and inference in the nonparametric concurrent models using various methods such as spline smoothing, Gaussian process regression and local polynomial kernel regression to be useful tools in functional regression as well as stepping stone for further development.
(via Semantic Scholar)
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
On the substructure controls in rare variant analysis: Principal components or variance components?
GENETIC EPIDEMIOLOGY, 42(3), 276–287.
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
2017 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
2016 journal article
A small-sample multivariate kernel machine test for microbiome association studies
GENETIC EPIDEMIOLOGY, 41(3), 210–220.
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
2016 journal article
Classical testing in functional linear models
JOURNAL OF NONPARAMETRIC STATISTICS, 28(4), 813–838.
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 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 for additivity in non-parametric regression
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 44(4), 445–462.
author keywords: Generalized F test; linear mixed models; non-parametric regression; restricted likelihood ratio test; testing for additivity; testing for variance components
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
author keywords: Change-point estimation; Cross-validation; Nonparametric regression; Satellite imagery; Spline smoothing
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
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
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.
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
2015 journal article
Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine
BIOMETRICS, 72(2), 364–371.
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
2015 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
2014 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
2014 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
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 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
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 *, n & R. Carroll *
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
Variable selection in generalized functional linear models
Stat, 2(1), 86–101.
Contributors: J. Gertheiss *, n & A. Staicu n
TL;DR:
This paper proposes a variable selection technique, based on adopting a generalized functional linear model framework and using a penalized likelihood method that simultaneously controls the sparsity of the model and the smoothness of the corresponding coefficient functions by adequate penalization.
(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: ORCID, Crossref, NC State University Libraries
Added: September 4, 2019
2013 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
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
Design and analysis issues in gene and environment studies
Environmental Health: A Global Access Science Source, 11(1).
Contributors: C. Liu *, n , 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
Parametrically guided generalised additive models with application to mergers and acquisitions data
JOURNAL OF NONPARAMETRIC STATISTICS, 25(1), 109–128.
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
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
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
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
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.
Contributors: M. Sherman *, n & S. Wang *
author keywords: Fieller's interval; Ratio estimation; Variance estimation; Sample surveys; Small sample inference
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 spatial isotropy under general designs
Journal of Statistical Planning and Inference, 142(5), 1081â1091.
Contributors: n & M. Sherman *
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
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
2010 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
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.
Contributors: R. Carroll *, * , E. Mammen* & K. Yu *
author keywords: Additive model; Generalized least square; Nonparametric regression; Repeated measure; Smooth backfitting
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
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.
TL;DR:
The problem of quantile estimation in general semiparametric regression models is considered, plug-in kernel-based estimators are derived, their asymptotic distribution is investigated and the semiparmetric efficiency of these estimators under mild assumptions is established.
(via Semantic Scholar)
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.
TL;DR:
This paper considers a wide family of semiparametric repeated measures regression models, in which the main interest is on estimating population-level quantities such as mean, variance, probabilities etc, and derives plug-in kernel-based estimators of the population level quantities and derive their asymptotic distribution.
(via Semantic Scholar)
Source: ORCID
Added: September 4, 2019
2008 journal article
On adaptive linear regression
Journal of Applied Statistics, 35(12), 1409â1422.
Contributors: * & M. Sherman *
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
2008 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
2007 journal article
Comments on: Nonparametric inference with generalized likelihood ratio tests
Test, 16(3), 456â458.
Contributors: R. Carroll * & *
TL;DR:
This review has focused on the additive model problems, but it is worth pointing out that Fan et al. (2001) also showed the same type of Wilks phenomenon for generalized linear models, and presumably only algebra prevents one from concluding that it holds for all likelihood problems.
(via Semantic Scholar)
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 *
author keywords: generalized estimating equations; kernel methods; measurement error; missing data; nonparametric regression; nutrition; partially linear model; profile method; semiparametric efficient score; semiparametric information bound; single-index models
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.
Contributors: * & M. Sherman *
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.
TL;DR:
A technique based on two-parameter data perturbation is developed for sample moment matching in kernel density estimation and it is shown that the moments calculated from the resulting tuned kernel density estimate can be made arbitrarily close to the raw sample moments.
(via Semantic Scholar)
Source: ORCID
Added: September 5, 2019
Employment
Updated: September 14th, 2016 22:57
2010 - present
North Carolina State University Raleigh, NC, US
Associate Professor
Statistics
2008 - 2010
Harvard School of Public Health Boston, MA, US
Research Fellow
Biostatistics
Education
Updated: September 4th, 2019 21:34
2005 - 2008
Texas A&M University College Station, TX, US
PhD
Statistics
2003 - 2005
Texas A&M University College Station, TX, US
MS
Statistics
2000 - 2003
Indian Statistical Institute Kolkata, West Bengal, IN
BS
Statistics
Funding History
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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