Arnab Maity

Improving paleoclimate predictions from paleosol geochemistry

Jackson, K. S., Griffith, E., Maity, A., Burgener, L. K., Cotton, J. M., Ghosh, A., … Hyland, E. G. (2026, January 1). SSRN Electronic Journal, Vol. 1.

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

Rose, D. K., Bentley, L., Maity, A., Maguire, R. L., Planchart, A., Spasojevic, I., … Hoyo, C. (2024, February 1). Heliyon, Vol. 10.

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.

Inference in functional linear quantile regression

Li, M., Wang, K., Maity, A., & Staicu, A.-M. (2022, March 11). Journal of Multivariate Analysis, Vol. 7.

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

Gonzalez-Nahm, S., Marchesoni, J., Maity, A., Maguire, R. L., House, J. S., Tucker, R., … Hoyo, C. (2022, September 23). Current Developments in Nutrition, Vol. 6.

A Score Based Test for Functional Linear Concurrent Regression

Ghosal, R., & Maity, A. (2021, May 24). Econometrics and Statistics, Vol. 1.

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

Mehrotra, S., & Maity, A. (2021, November 22). Canadian Journal of Statistics, Vol. 11.

Variable selection in nonlinear function‐on‐scalar regression

Ghosal, R., & Maity, A. (2021, September 16). Biometrics, Vol. 9.

Variable selection in nonparametric functional concurrent regression

Ghosal, R., & Maity, A. (2021, September 24). Canadian Journal of Statistics, Vol. 9.

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

Alam, K., Maity, A., Sinha, S. K., Rizopoulos, D., & Sattar, A. (2020, November 24). Lifetime Data Analysis.

Robust kernel association testing (RobKAT)

Martinez, K., Maity, A., Yolken, R. H., Sullivan, P. F., & Tzeng, J. Y. (2020, January 14). Genetic Epidemiology, Vol. 44, pp. 272–282.

Variable Selection in Functional Linear Concurrent Regression

Ghosal, R., Maity, A., Clark, T., & Longo, S. B. (2020, May 4). Journal of the Royal Statistical Society Series C (Applied Statistics), Vol. 69, pp. 565–587.

SA30VARIANCE COMPONENT TEST FOR CROSS-DISORDER PATHWAY ANALYSIS

Szatkiewicz, J., Marceau, R., Yilmaz, Z., Bulik, C., Crowley, J., Mattheisen, M., … al. (2019, January 1). 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 nonlinear functional concurrent model

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

Bayesian comparative study on binary time series

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

Composite Kernel Machine Regression Based on Likelihood Ratio Test for Joint Testing of Genetic and Gene–Environment Interaction Effect

Zhao, N., Zhang, H., Clark, J. J., Maity, A., & Wu, M. C. (2018, November 14). Biometrics, Vol. 75, pp. 625–637.

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

Davenport, C. A., Maity, A., & Baladandayuthapani, V. (2018, May 7). Statistics in Medicine, Vol. 37, pp. 2715–2733.

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

Maity, A., Zhao, J., Sullivan, P. F., & Tzeng, J. Y. (2018, January 3). Genetic Epidemiology, Vol. 42, pp. 64–79.

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

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

Additive Function-on-Function Regression

Kim, J. S., Staicu, A.-M., Maity, A., Carroll, R. J., & Ruppert, D. (2017, July 19). Journal of Computational and Graphical Statistics, Vol. 27, pp. 234–244.

Asymptotic theory for varying coefficient regression models with dependent data

Bandyopadhyay, S., & Maity, A. (2017, March 11). Annals of the Institute of Statistical Mathematics, Vol. 70, pp. 745–759.

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

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

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

Luo, Y., McCullough, L. E., Tzeng, J.-Y., Darrah, T., Vengosh, A., Maguire, R. L., … Hoyo, C. (2017, April 24). BMC Public Health, Vol. 17.

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

BMC Public Health, 17.

Nonparametric functional concurrent regression models

Maity, A. (2017, February 10). Wiley Interdisciplinary Reviews Computational Statistics, Vol. 9.

Nonparametric functional concurrent regression models

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

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

Luo, Y., Maity, A., Wu, M. C., Smith, C., Duan, Q., Li, Y., & Tzeng, J. Y. (2017, December 26). Genetic Epidemiology, Vol. 42, pp. 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. (2017, November 2). Rejoinder to “A Note on Testing and Estimation in Marker-set Association Study Using Semiparametric Quantile Regression Kernel Machine.” Biometrics, Vol. 74, pp. 767–768.

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

Zhan, X., Tong, X., Zhao, N., Maity, A., Wu, M. C., & Chen, J. (2016, December 26). Genetic Epidemiology, Vol. 41, pp. 210–220.

Classical testing in functional linear models

Kong, D., Staicu, A.-M., & Maity, A. (2016, September 20). Journal of Nonparametric Statistics, Vol. 28, pp. 813–838.

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

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

Testing for additivity in non‐parametric regression

Zhang, Y., Staicu, A. M., & Maity, A. (2016, August 8). Canadian Journal of Statistics, Vol. 8, pp. 445–462.

Glacier Terminus Estimation from Landsat Image Intensity Profiles

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

Interaction models for functional regression

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

Module-Based Association Analysis for Omics Data with Network Structure

Wang, Z., Maity, A., Hsiao, C. K., Voora, D., Kaddurah-Daouk, R., & Tzeng, J.-Y. (2015, March 30). PLoS ONE, Vol. 10, p. 0122309.

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

Davenport, C. A., Maity, A., & Wu, Y. (2015, April 3). Journal of Nonparametric Statistics, Vol. 27, pp. 195–213.

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

Urrutia, E., Lee, S., Maity, A., Zhao, N., Shen, J., Li, Y., & Wu, M. C. (2015, January 1). Statistics and Its Interface, Vol. 8, pp. 495–505.

Testing and Estimation in Marker-Set Association Study Using Semiparametric Quantile Regression Kernel Machine

Kong, D., Maity, A., Hsu, F. C., Tzeng, J. Y., & Biometrics. (2015, November 17). Biometrics, Vol. 72, pp. 364–371.

Unified variable selection in semi-parametric models

Terry, W., Zhang, H., Maity, A., Arshad, H., & Karmaus, W. (2015, October 20). Statistical Methods in Medical Research, Vol. 10, pp. 2821–2831.

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

Wang, Z., Maity, A., Luo, Y., Neely, M. L., & Tzeng, J. Y. (2014, December 23). Genetic Epidemiology, Vol. 39, pp. 122–133.

Global Analysis of Methylation Profiles From High Resolution CpG Data

Zhao, N., Bell, D. A., Maity, A., Staicu, A. M., Joubert, B. R., London, S. J., & Wu, M. C. (2014, December 23). Genetic Epidemiology, Vol. 39, pp. 53–64.

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

Carmona, J. J., Sofer, T., Hutchinson, J., Cantone, L., Coull, B., Maity, A., … al. (2014, November 13). Environmental Health, Vol. 13, p. 94.

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, 13.

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

Maity, A., Williams, P. L., Ryan, L., Missmer, S. A., Coull, B. A., & Hauser, R. (2013, December 8). Statistics in Medicine, Vol. 33, pp. 1738–1749.

Epigenetic Deregulation of MicroRNAs in Rhabdomyosarcoma and Neuroblastoma and Translational Perspectives

Liu, C.-Y., Maity, A., Lin, X., Wright, R., & Christiani, D. (2013, November 25). Apple Academic Press EBooks, Vol. 11, p. 339–370.

Exposure to Airborne Particulate Matter is Associated with Methylation Pattern in the Asthma Pathway

Sofer, T., Baccarelli, A., Cantone, L., Coull, B., Maity, A., Lin, X., & Schwartz, J. (2013, April 1). Epigenomics, Vol. 5, p. 147–154.

Kernel Machine SNP‐Set Testing Under Multiple Candidate Kernels

Wu, M. C., Maity, A., Lee, S., Simmons, E. M., Harmon, Q. E., Lin, X., … Armistead, P. M. (2013, March 7). Genetic Epidemiology, Vol. 37, p. 267–275.

Parameter Estimation of Partial Differential Equation Models

Xun, X., Cao, J., Mallick, B., Maity, A., & Carroll, R. J. (2013, April 28). Journal of the American Statistical Association, Vol. 108, p. 1009–1020.

Variable selection in generalized functional linear models

Stat, 2(1), 86–101.

Variable selection in semi-parametric models

Zhang, H., MAITY, A. R. N. A. B., Arshad, H., Holloway, J., Karmaus, W., Lawson, A. B., … MacNab, Y. (2013, August 30). Statistical Methods in Medical Research, Vol. 25, pp. 1736–1752.

A powerful test for comparing multiple regression functions

Maity, A. (2012, April 23). Journal of Nonparametric Statistics, Vol. 24, p. 563–576.

Design and analysis issues in gene and environment studies

Liu, C.-yu, Maity, A., Lin, X., Wright, R. O., & Christiani, D. C. (2012, December 1). Environmental Health, Vol. 11.

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

Sofer, T., Maity, A., Coull, B., Baccarelli, A. A., Schwartz, J., & Lin, X. (2012, September 10). Statistics in Biosciences, Vol. 4, pp. 319–338.

Multivariate Phenotype Association Analysis by Marker‐Set Kernel Machine Regression

Maity, A., Sullivan, P. F., & Tzeng, J. (2012, August 16). Genetic Epidemiology, Vol. 36, p. 686–695.

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

Fan, J., Maity, A., Wang, Y., & Wu, Y. (2012, November 28). Journal of Nonparametric Statistics, Vol. 25, p. 109–128.

Partially linear varying coefficient models stratified by a functional covariate

Maity, A., & Huang, J. Z. (2012, June 10). Statistics & Probability Letters, Vol. 82, p. 1807–1814.

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

He, H., Zhang, H., Maity, A., Zou, Y., Hussey, J., & Karmaus, W. (2012, November 22). Genetica, Vol. 140, p. 421–427.

Analysis of Sabine river flow data using semiparametric spline modeling

Bandyopadhyay, S., & Maity, A. (2011, February 5). Journal of Hydrology, Vol. 399, pp. 274–280.

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

Mahalingaiah, S., Missmer, S. A., Maity, A., Williams, P. L., Meeker, J. D., Berry, K., … al. (2011, August 29). Environmental Health Perspectives, Vol. 120, p. 316–320.

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

Maity, A., & Apanasovich, T. V. (2011, January 1). Electronic Journal of Statistics, Vol. 5, pp. 1424–1449.

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

Sherman, M., Maity, A., & Wang, S. (2011, June 29). AStA Advances in Statistical Analysis, Vol. 95, p. 313–323.

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

Maity, A., & Lin, X. (2011, April 19). Biometrics, Vol. 67, p. 1271–1284.

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

Perry, M. J., Chen, X., McAuliffe, M. E., Maity, A., & Deloid, G. M. (2011, May 12). Cytometry Part A, Vol. 79A, p. 661–666.

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

Meeker, J. D., Maity, A., Missmer, S. A., Williams, P. L., Mahalingaiah, S., Ehrlich, S., … Hauser, R. (2011, February 23). Environmental Health Perspectives, Vol. 119, p. 1010–1016.

Testing for spatial isotropy under general designs

Maity, A., & Sherman, M. (2011, December 7). Journal of Statistical Planning and Inference, Vol. 142, p. 1081–1091.

Particulate Air Pollution Modifies Methylation Of NFKb Pathways

Schwartz, J., Sofer, T., Maity, A., Lin, X., & Baccarelli, A. (2010, May 1). C16. GENETICS OF LUNG DISEASE AND GENE: ENVIRONMENT INTERACTIONS, Vol. 5.

Proportional Hazards Regression Using Bayesian Kernel Machines

Bayesian Modeling in Bioinformatics.

Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data

Zhou, L., Huang, J. Z., Martinez, J. G., Maity, A., Baladandayuthapani, V., & Carroll, R. J. (2010, March 1). Journal of the American Statistical Association, Vol. 105, p. 390–400.

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

Wei, J., Carroll, R. J., & Maity, A. (2010, November 24). Statistics & Probability Letters, Vol. 81, p. 717–723.

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

Carroll, R., Maity, A., Mammen, E., & Yu, K. (2009, April 22). Statistics in Biosciences, Vol. 1, p. 10–31.

Nonparametric additive regression for repeatedly measured data

Carroll, R. J., Maity, A., Mammen, E., & Yu, K. (2009, May 20). Biometrika, Vol. 96, pp. 383–398.

SIMEX and standard error estimation in semiparametric measurement error models

Apanasovich, T. V., Carroll, R. J., & Maity, A. (2009, January 1). Electronic Journal of Statistics, Vol. 3, p. 318–348.

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

Maity, A. (2008, March 26). Statistics & Probability Letters, Vol. 78, p. 2744–2750.

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

Maity, A., Apanasovich, T. V., & Carroll, R. J. (2008, January 1). Collections, p. 123–137.

On adaptive linear regression

Maity, A., & Sherman, M. (2008, October 10). Journal of Applied Statistics, Vol. 35, p. 1409–1422.