Nilanjan Chatterjee

23 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-9060-008X

Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD;b Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD

Publications

• A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information — Journal of the American Statistical Association 2021
• Post-selection estimation and testing following aggregate association tests — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
• Generalized meta-analysis for multiple regression models across studies with disparate covariate information — Biometrika 2019
• Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data — Journal of the American Statistical Association 2018
• Adjustment of nonconfounding covariates in case-control genetic association studies — The Annals of Applied Statistics 2018
• Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies — Biometrika 2017
• Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources — Journal of the American Statistical Association 2016
• Rejoinder — Journal of the American Statistical Association 2016
• Using shared genetic controls in studies of gene-environment interactions — Biometrika 2013 (name-matched, not ORCID-linked)
• Robust estimation for homoscedastic regression in the secondary analysis of case–control data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2013
• Testing for Gene–Environment and Gene–Gene Interactions Under Monotonicity Constraints — Journal of the American Statistical Association 2012
• Analysis of cohort studies with multivariate and partially observed disease classification data — Biometrika 2010
• Inference in Semiparametric Regression Models Under Partial Questionnaire Design and Nonmonotone Missing Data — Journal of the American Statistical Association 2010
• Testing in semiparametric models with interaction, with applications to gene–environment interactions — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
• Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies — Journal of the American Statistical Association 2009
• Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State — Journal of the American Statistical Association 2008
• Breast Cancer Relative Hazard Estimates From Case–Control and Cohort Designs With Missing Data on Mammographic Density — Journal of the American Statistical Association 2008
• Maximum likelihood inference on a mixed conditionally and marginally specified regression model for genetic epidemiologic studies with two-phase sampling — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
• Comment — Journal of the American Statistical Association 2006
• Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies — Biometrika 2005
• A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data — Journal of the American Statistical Association 2004
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling — Journal of the American Statistical Association 2003
• Constructing Genetic Risk Scores: Robust Bayesian Approach through Projected Summary Statistics and Flexible Shrinkage — Journal of the American Statistical Association