A. Maity

发表

Module-Based Association Analysis for Omics Data with Network Structure

J. Tzeng, D. Voora, R. Kaddurah-Daouk, 2015, PloS one.

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

Yichao Wu, A. Maity, C. Davenport, 2015, Journal of nonparametric statistics.

Testing for Spatial Isotropy Under General Designs.

M. Sherman, A. Maity, 2012, Journal of statistical planning and inference.

Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data

Arnab Maity, Jianhua Z. Huang, Veerabhadran Baladandayuthapani, 2010, Journal of the American Statistical Association.

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

P. Sullivan, J. Tzeng, A. Maity, 2017, Statistics in Biosciences.

Penalized Regression Methods with Application to Domain Selection and Outlier Detection by Dehan Kong

Yichao Wu, H. Bondell, Wenbin Lu, 2013 .

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

J. Tzeng, F. Hsu, D. Kong, 2016, Biometrics.

Asymptotic theory for varying coefficient regression models with dependent data

S. Bandyopadhyay, A. Maity, 2018 .

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

A. Maity, Michael C. Wu, Ni Zhao, 2019, Biometrics.

Testing for additivity in non‐parametric regression

A. Maity, A. Staicu, Yichi Zhang, 2016 .

Classical testing in functional linear models

Ana-Maria Staicu, Arnab Maity, Dehan Kong, 2016, Journal of nonparametric statistics.

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

John N. Hutchinson, P. Vokonas, J. Schwartz, 2014, Environmental Health.

Parameter Estimation of Partial Differential Equation Models

Jiguo Cao, Arnab Maity, Raymond J. Carroll, 2013, Journal of the American Statistical Association.

Efficient inference in general semiparametric regression models

A. Maity, 2009 .

The Two-Sample T Test With One Variance Unknown

M. Sherman, A. Maity, 2006 .

A comparison of testing methods in scalar-on-function regression

A. Maity, A. Staicu, M. Y. Tekbudak, 2017, AStA Advances in Statistical Analysis.

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

J. Schwartz, A. Baccarelli, Xihong Lin, 2012, Statistics in biosciences.

PROLIFIC: Projection-based Test for Lack of Importance of Smooth Functional Effect in Crossover Design

A. Maity, A. Staicu, Salil Koner, 2022, 2205.08577.

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

D. Rizopoulos, K. Alam, S. Sinha, 2020, Lifetime Data Analysis.

Design and analysis issues in gene and environment studies

Xihong Lin, D. Christiani, A. Maity, 2012, Environmental Health.

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

J. Tzeng, Yun Li, Q. Duan, 2018, Genetic epidemiology.

Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer–Related Mortality

B. Mallick, A. Maity, Yabo Niu, 2019, Cancer informatics.

Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study

A. Maity, Mityl Biswas, 2019, 1907.10207.

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

D. Cramer, J. Meeker, S. Missmer, 2011, Environmental health perspectives.

Salicylic acid mediated multi-pronged strategy to combat bacterial blight disease (Xanthomonas axonopodis pv. punicae) in pomegranate

A. Maity, A. Maity, J. Sharma, 2018, European Journal of Plant Pathology.

Inference in functional linear quantile regression

A. Maity, A. Staicu, M. Li, 2016, J. Multivar. Anal..

Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions

A. Maity, Erina Paul, 2022, Sankhya A.

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

D. Cramer, J. Meeker, S. Missmer, 2011, Environmental Health Perspectives.

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

S. Murphy, A. Maity, C. Hoyo, 2022, Current developments in nutrition.

M E ] 1 4 D ec 2 01 6 Additive Function-on-Function Regression

R. Carroll, D. Ruppert, A. Maity, 2018 .

General functional concurrent model

A. Maity, A. Staicu, 2016 .

Nonparametric functional concurrent regression models

A. Maity, 2017 .

Asymptotic theory for varying coefficient regression models with dependent data

S. Bandyopadhyay, A. Maity, 2017, Annals of the Institute of Statistical Mathematics.

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

D. Rizopoulos, S. Sinha, A. Maity, 2020, Lifetime Data Analysis.

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

J. Tzeng, A. Maity, C. Davenport, 2017, Statistics in Biosciences.

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

A. Maity, W. Karmaus, J. Hussey, 2012, Genetica.

A comparison of testing methods in scalar-on-function regression

A. Maity, A. Staicu, M. Y. Tekbudak, 2018, AStA Advances in Statistical Analysis.

Nutritional Implications in 19 th Century Portugal : A LEH Study of Frequency and Duration . ( Under the direction of Dr

A. Maity, E. Cunha, A. Ross, 2012 .

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

Arnab Maity, Jung-Ying Tzeng, Jing Zhao, 2018, Genetic epidemiology.

Bayesian comparative study on binary time series

Raju Maiti, A. Maity, E. Paul, 2018, Journal of Statistical Computation and Simulation.

Variable selection in nonparametric functional concurrent regression

Arnab Maity, Rahul Ghosal, A. Maity, 2021, Canadian Journal of Statistics.

Variable selection in functional linear concurrent regression

A. Maity, S. Longo, Timothy P. Clark, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Temperature Independence of Ultrafast Photoisomerization in Thermophilic Rhodopsin: Assessment versus Other Microbial Proton Pumps.

M. Sheves, A. Maity, S. Ruhman, 2016, Journal of the American Chemical Society.

Semi‐automated scoring of triple‐probe FISH in human sperm: Methods and further validation

A. Maity, M. Perry, G. DeLoid, 2011, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Multivariate Phenotype Association Analysis by Marker‐Set Kernel Machine Regression

Arnab Maity, Patrick F Sullivan, A. Maity, 2012, Genetic epidemiology.

Global Analysis of Methylation Profiles From High Resolution CpG Data

Ana-Maria Staicu, Arnab Maity, Michael C Wu, 2015, Genetic epidemiology.

Integration of survival and binary data for variable selection and prediction: a Bayesian approach

Raymond J Carroll, Bani K Mallick, Arnab Kumar Maity, 2019, Journal of the Royal Statistical Society. Series C, Applied statistics.

Power Analysis of Collapsed Ordered Categories with Application to Cancer Data

J. Dey, A. Maity, 2018, Calcutta Statistical Association Bulletin.

Variable selection in generalized functional linear models

J Gertheiss, A Maity, A-M Staicu, 2013, Stat.

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

Seunggeun Lee, Ni Zhao, Arnab Maity, 2015, Statistics and its interface.

Variable selection in semi-parametric models

Arnab Maity, Hongmei Zhang, John Holloway, 2016, Statistical methods in medical research.

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

J. Tzeng, S. Murphy, C. Samuel-Hodge, 2017, BMC Public Health.

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

Arnab Maity, Zhi Wang, Jung-Ying Tzeng, 2015, Genetic epidemiology.

A Score Based Test for Functional Linear Concurrent Regression

A. Maity, R. Ghosal, 2018, Econometrics and Statistics.

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

Arnab Maity, Jianqing Fan, Yichao Wu, 2013, Journal of nonparametric statistics.

SIMEX and standard error estimation in semiparametric measurement error models.

Arnab Maity, Raymond J Carroll, Tatiyana V Apanasovich, 2009, Electronic journal of statistics.

Kernel Machine SNP‐Set Testing Under Multiple Candidate Kernels

Arnab Maity, Seunggeun Lee, Michael C Wu, 2013, Genetic epidemiology.

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

Xiang Zhan, Arnab Maity, Jun Chen, 2017, Genetic epidemiology.

Nonparametric additive regression for repeatedly measured data

Arnab Maity, Raymond J. Carroll, Enno Mammen, 2009 .

Analysis of Sabine river flow data using semiparametric spline modeling

S. Bandyopadhyay, A. Maity, 2011 .

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

Brent A. Coull, Louise Ryan, Arnab Maity, 2014, Statistics in medicine.

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

Arnab Maity, Tatiyana V Apanasovich, T. Apanasovich, 2011, Electronic journal of statistics.

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

J. Schwartz, A. Baccarelli, Xihong Lin, 2013, Epigenomics.

Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data

Veerabhadran Baladandayuthapani, Bani K Mallick, Anirban Bhattacharya, 2019, Biometrics.

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

Arnab Maity, Enno Mammen, Raymond Carroll, 2009, Statistics in biosciences.

Bayesian criterion‐based variable selection

S. Basu, A. Maity, Santu Ghosh, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

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

A. Baccarelli, Xihong Lin, T. Sofer, 2012, Statistics in Biosciences.

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

A. Maity, Suchit Mehrotra, 2019, Canadian Journal of Statistics.

Variational Inference for Shrinkage Priors: The R package vir

Arnab Maity, Suchit Mehrotra, A. Maity, 2021, 2102.08877.

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

Ujjwal Das, Arnab Kumar Maity, Vivek Pradhan, 2018, The American Statistician.

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

Xihong Lin, Arnab Maity, Xihong Lin, 2011, Biometrics.

Additive Function-on-Function Regression

Ana-Maria Staicu, Arnab Maity, Raymond J. Carroll, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Glacier Terminus Estimation from Landsat Image Intensity Profiles

Ana-Maria Staicu, Arnab Maity, A. Schwartzman, 2015 .

Unified variable selection in semi-parametric models

A. Maity, W. Karmaus, Hongmei Zhang, 2017, Statistical methods in medical research.

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

Arnab Maity, Veerabhadran Baladandayuthapani, Clemontina A Davenport, 2018, Statistics in medicine.

Interaction models for functional regression

Ana-Maria Staicu, Arnab Maity, Joseph Usset, 2016, Comput. Stat. Data Anal..

Divide-and-Conquer MCMC for Multivariate Binary Data

Arnab Maity, Halley Brantley, Lauren Bangerter, 2021, 2102.09008.

Adaptive Bayesian variable clustering via structural learning of breast cancer data

M. Pourahmadi, B. Mallick, A. Maity, 2022, Genetic epidemiology.

Highest Posterior Model Computation and Variable Selection via Simulated Annealing

S. Basu, A. Maity, 2023, The New England Journal of Statistics in Data Science.

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

M. Sherman, Suojin Wang, A. Maity, 2011 .

Additive Nonlinear Functional Concurrent Model.

A. Maity, A. Staicu, Janet S. Kim, 2018, Statistics and its Interface.

Hypothesis Testing in Functional Linear Concurrent Regression

A. Maity, R. Ghosal, 2018 .

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

Paige L. Williams, B. Coull, S. Missmer, 2013, Statistics in medicine.

Comments on: Nonparametric inference with generalized likelihood ratio tests

Arnab Maity, Raymond J. Carroll, R. Carroll, 2007 .

Bayesian structural equation modeling in multiple omics data with application to circadian genes

Bani K Mallick, Arnab Kumar Maity, Sang Chan Lee, 2020, Bioinform..