# overview
My research focuses on statistical methods for epidemiological studies, which investigate factors influencing the health and illness of populations. These studies form the foundation and rationale for interventions aimed at public health and preventive medicine. Specifically, my research aims to develop innovative statistical techniques to address measurement errors in the primary variables of interest and to manage subjects with partially missing information. The developed statistical methods utilize parametric, semiparametric, and nonparametric approaches to enable flexible and robust modeling.

Keywords: Censored data models, Computational statistics, Dimension reduction methods, Genomics, Regression with missing data measurement errors

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8.4 Research Design And Methodologies (health Services)

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8 Health And Social Care Services Research

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Squamous Cell Carcinoma Of Head And Neck

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University of Florida - (Gainesville, Florida, United States)

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Calcutta Research Group - (Kolkata, India)

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University of Kalyani - (Kalyani, West Bengal, India)

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Nicotine consumption and folate insufficiency in pregnancy: a population-based cross-sectional study.

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Frequentist Standard Errors of Bayes Estimators.

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Prediction Error of Small Area Predictors Shrinking Both Means and Variances

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A test of homogeneity of distributions when observations are subject to measurement errors.

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Prospects for measuring the time variation of astrophysical neutrino sources at dark matter detectors

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Analysis of cohort studies with multivariate and partially observed disease classification data.

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Efficient Estimation of the Additive Risks Model for Interval-Censored Data

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A new semiparametric procedure for matched case-control studies with missing covariates

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Analysis of matched case-control data in presence of nonignorable missing exposure.

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Reducing bias due to misclassified exposures using instrumental variables

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Benchmarking Sparse Variable Selection Methods forGenomic Data Analyses.

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Randomized Open-Label Clinical Trial Comparing Prednisolone and Cyclosporine With a Nonrandomized Active Control for Treating Presumed Chronic Pancreatitis in Cats.

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CMPLE: Correlation Modeling to Decode Photosynthesis Using the MinorizeMaximize Algorithm

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Semiparametric Bayesian analysis of case-control data under conditional gene-environment independence.

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Minorize-maximize algorithm for the generalized odds rate model for clustered current status data

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Analysis of matched case-control data with multiple ordered disease states: possible choices and comparisons.

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A functional method for the conditional logistic regression with errors-in-covariates

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Single-cell transcriptomics shows dose-dependent disruption of hepatic zonation by TCDD in mice.

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Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose-response study designs.

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Modelling association among bivariate exposures in matched case-control studies

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Analysis of linear transformation models with covariate measurement error and interval censoring.

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Score tests in the presence of errors in covariates in matched case-control studies

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Semiparametric Bayesian analysis of censored linear regression with errors-in-covariates.

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Identifiability and bias reduction in the skew-probit model for a binary response

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Bayesian semiparametric modeling for matched case-control studies with multiple disease states.

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Semiparametric bayesian analysis of nutritional epidemiology data in the presence of measurement error.

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Semiparametric Bayesian analysis of matched case-control studies with missing exposure

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Associations between the Exposure to Airborne Virulent Rhodococcus equi and the Incidence of R equi Pneumonia among Individual Foals

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Searching for Beyond the Standard Model Physics with COHERENT Energy and Timing Data.

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Confidence interval estimation of small area parameters shrinking both means and variances

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Bias reduction in conditional logistic regression.

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Effect of classifying disease states in genetic association studies for paratuberculosis.

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Functional Mixed Effects Model for Small Area Estimation.

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Efficient Estimation of the Additive Risks Model for Interval-Censored Data

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Semiparametric approach for non-monotone missing covariates in a parametric regression model.

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Semiparametric analysis of linear transformation models with covariate measurement errors.

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A global analysis strategy to resolve neutrino NSI degeneracies with scattering and oscillation data

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Dose-dependent disruption of hepatic zonation by 2,3,7,8-tetrachlorodibenzo-p-dioxin in mice: integration of single-nuclei RNA sequencing and spatial transcriptomics

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A comparative study of two-sample tests for interval-censored data

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Fitness cost conferred by the novel erm(51) and rpoB mutation on environmental multidrug resistant-Rhodococcus equi.

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Matched case-control data with a misclassified exposure: what can be done with instrumental variables?

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Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates

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Analysis of Multivariate Disease Classification Data in the Presence of Partially Missing Disease Traits.

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An estimated-score approach for dealing with missing covariate data in matched case-control studies

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Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose-response study designs

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CXCL11-CXCR3 Axis Mediates Tumor Lymphatic Cross Talk and Inflammation-Induced Tumor, Promoting Pathways in Head and Neck Cancers.

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Inference of the haplotype effect in a matched case-control study using unphased genotype data.

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Missing exposure data in stereotype regression model: application to matched case-control study with disease subclassification.

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Bayesian Analysis of Case-Control Studies

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A score test for determining sample size in matched case-control studies with categorical exposure.

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Bayesian variable selection in the accelerated failure time model with an application to the surveillance, epidemiology, and end results breast cancer data.

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A consistent estimator for logistic mixed effect models.

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Two Wrongs Make a Right: Addressing Underreporting in Binary Data from Multiple Sources.

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Saving Babies Born with Birth Defects: Crafting epigenetic risk scores to reduce racial disparity in mortality

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Texas A&M University - (College Station, Texas, United States)

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Innovative approaches for analyzing SEER breast cancer data

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National Institutes of Health - (Bethesda, Maryland, United States)

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Searching for New Physics with Coherent Neutrino-Nucleus Scattering

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Texas A&M University - (College Station, Texas, United States)

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TAMU College of Science FY18 Strategic Transformative Research Program

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Collaborative research: Statistical methods based on parametric and semiparametric hierarchical models to solve problems related to socio-economic-demographic deprivation measures

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National Science Foundation - (Arlington, Virginia, United States)

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North American Meeting of New Researchers in Statistics and Probability

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National Science Foundation - (Arlington, Virginia, United States)

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Texas A&M University; Department Of Statistics; 3143 TAMU

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Miao, Jingang (2014-08). New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics. Doctoral Dissertation.

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Manuel, Christopher Matthew (2020-08). Novel Methods for Addressing Bias from Misclassified Exposure Variables. Doctoral Dissertation.

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Wang, Tong (2021-08). Novel Computational Techniques for Semiparametric Analysis with Interval-Censored Data. Doctoral Dissertation.

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Sun, Xiuzhen (2010-08). Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models. Doctoral Dissertation.

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Lee, Donghyuk (2018-07). Testing Statistical Hypotheses for Latent Variable Models and Some Computational Issues. Doctoral Dissertation.

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Mandal, Soutrik (2018-08). Analysis and Goodness-of-Fit Tests for Time-to-Event Models. Doctoral Dissertation.