Arnab Maity

A Score Based Test for Functional Linear Concurrent Regression

ECONOMETRICS AND STATISTICS, 21, 114–130.

Inference in functional linear quantile regression

JOURNAL OF MULTIVARIATE ANALYSIS, 190.

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

CURRENT DEVELOPMENTS IN NUTRITION, 6(11).

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

LIFETIME DATA ANALYSIS, 27(1), 64–90.

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.

Variable selection in nonlinear function-on-scalar regression

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

Variable selection in nonparametric functional concurrent regression

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

Robust kernel association testing (RobKAT)

GENETIC EPIDEMIOLOGY, 44(3), 272–282.

Variable selection in functional linear concurrent regression

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

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

Biometrics, 75(2), 625–637.

VARIANCE COMPONENT TEST FOR CROSS-DISORDER PATHWAY ANALYSIS

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

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

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

Additive Function-on-Function Regression

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

Additive nonlinear functional concurrent model

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

Asymptotic theory for varying coefficient regression models with dependent data

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

Bayesian comparative study on binary time series

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

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

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

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

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

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

GENETIC EPIDEMIOLOGY, 42(1), 64–79.

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

GENETIC EPIDEMIOLOGY, 42(3), 276–287.

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).

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

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

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

GENETIC EPIDEMIOLOGY, 41(3), 210–220.

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

BMC Public Health, 17(1).

Nonparametric functional concurrent regression models

WIREs Computational Statistics, 9(2).

Nonparametric functional concurrent regression models

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

Unified variable selection in semi-parametric models

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

Classical testing in functional linear models

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

Interaction models for functional regression

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

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

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

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

BIOMETRICS, 72(2), 364–371.

Testing for additivity in non-parametric regression

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

Variable selection in semi-parametric models

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

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

GENETIC EPIDEMIOLOGY, 39(2), 122–133.

Glacier Terminus Estimation from Landsat Image Intensity Profiles

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

Global Analysis of Methylation Profiles From High Resolution CpG Data

GENETIC EPIDEMIOLOGY, 39(2), 53–64.

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

PLoS ONE, 10(3), 0122309.

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

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

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.

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

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

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.

Design and Analysis Issues in Gene and Environment Studies

Exploring Connections Between Genetic Mechanisms and Disease Expression, Vol. 11, p. 339–370.

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

EPIGENOMICS, 5(2), 147–154.

Kernel Machine SNP-Set Testing Under Multiple Candidate Kernels

GENETIC EPIDEMIOLOGY, 37(3), 267–275.

Parameter Estimation of Partial Differential Equation Models

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

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

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

Variable selection in generalized functional linear models

Stat, 2(1), 86–101.

A powerful test for comparing multiple regression functions

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

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

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

Design and analysis issues in gene and environment studies

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

Design and analysis issues in gene and environment studies

[Review of ]. Environmental Health, 11.

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

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

Multivariate Phenotype Association Analysis by Marker-Set Kernel Machine Regression

GENETIC EPIDEMIOLOGY, 36(7), 686–695.

Partially linear varying coefficient models stratified by a functional covariate

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

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.

Testing for spatial isotropy under general designs

Journal of Statistical Planning and Inference, 142(5), 1081–1091.

Analysis of Sabine river flow data using semiparametric spline modeling

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

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

ELECTRONIC JOURNAL OF STATISTICS, 5, 1424–1449.

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

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

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

BIOMETRICS, 67(4), 1271–1284.

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

CYTOMETRY PART A, 79A(8), 661–666.

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

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

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

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

Particulate Air Pollution Modifies Methylation Of NFKb Pathways

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

Proportional Hazards Regression Using Bayesian Kernel Machines

In Bayesian Modeling in Bioinformatics.

Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data

Journal of the American Statistical Association, 105(489), 390–400.

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

Stat Biosci, 1(1), 10–31.

Nonparametric Additive Regression for Repeatedly Measured Data

Biometrika, 96(2), 383–398.

SIMEX and standard error estimation in semiparametric measurement error models

Electronic Journal of Statistics, 3(0), 318–348.

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

Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71(1), 75–96.

Efficient Inference in General Semiparametric Regression Models

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

Efficient estimation of population quantiles in general semiparametric regression models

Statistics and Probability Letters, 78(16), 2744–2750.

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

Collections, p. 123–137.

On adaptive linear regression

Journal of Applied Statistics, 35(12), 1409–1422.

Comments on: Nonparametric inference with generalized likelihood ratio tests

Test, 16(3), 456–458.

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

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

The two-sample t test with one variance unknown

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

A Perturbation Technique for Sample Moment Matching in Kernel Density Estimation

Calcutta Statistical Association Bulletin.