Using statistical analysis to determine gene-environment interaction
Dr. Mukherjee's research interests include statistical methods for analysis of electronic health records, studies of gene-environment interaction, Bayesian methods, shrinkage estimation, and analysis of multiple pollutants. She is focused on developing novel inferential methods for epidemiological data. Given that epidemiology is a science which progresses by accumulation of evidence, the Bayesian paradigm offers many natural solutions to complex problems encountered in modern epidemiology. Currently, she is working on case-control studies of gene-environment interaction, two-phase studies and longitudinal studies. She is interested in foundational issues related to outcome dependent or exposure enriched sampling.
- BS, Statistics, Presidency College, 1994
- M.Stat, Applied Statistics and Data Analysis, Indian Statistical Institute, 1996
- MS, Mathematical Statistics, Purdue University, 1999
- PhD, Statistics, Purdue University, 2001