Bhramar Mukherjee, Ph.D.
- John D. Kalbfleisch Collegiate Professor of Biostatistics
- Associate Chair of Biostatistics
- Professor of Epidemiology
- Associate Director for Population Sciences
- UM Comprehensive Cancer Center
- M4619 A SPH I
- 1415 Washington Heights
- Ann Arbor, Michigan 48109-2029
Bhramar Mukherjee is a Professor in the Department of Biostatistics, joining the department in Fall, 2006. Bhramar is also a Professor in the Department of Epidemiology. Bhramar completed her Ph.D. in 2001 from Purdue University. Bhramar's principal research interests lie in Bayesian methods in epidemiology and studies of gene-environment interaction. She is also interested in modeling missingness in exposure, categorical data models, Bayesian nonparametrics, and the general area of statistical inference under outcome/exposure dependent sampling schemes. Bhramar's methodological research is funded by NSF and NIH. Bhramar is involved as a co-investigator in several R01s led by faculty in Internal Medicine, Epidemiology and Environment Health sciences at UM. Her collaborative interests focus on genetic and environmental epidemiology, ranging from investigating the genetic architecture of colorectal cancer in relation to environmental exposures to studies of air pollution on pediatric Asthma events in Detroit. She is actively engaged in Global Health Research.
- Ph.D., Statistics, Purdue University, 2001
- M.S., Mathematical Statistics, Purdue University, 1999
- M.Stat., Applied Statistics and Data Analysis, Indian Statistical Institute, 1996
- B.Sc., Statistics, Presidency College, 1994
Research Interests & Projects
- The central theme in my research program has been to develop novel inferential methods for epidemiological data using Bayesian, frequentist and hybrid methods. Epidemiology is a science which progresses by accumulation of evidence, and the Bayesian paradigm offers many natural solutions to complex problems encountered in modern epidemiology. Currently, I am working on case-control studies of gene-environment interaction, two-phase studies and longitudinal studies. I am interested in foundational issues related to outcome dependent or exposure enriched sampling. Recently I have been interested in shrinkage estimation and prediction using diverse heterogeneous data sources.
- Mukherjee, Bhramar, Ahn, Jaeil, Gruber, Stephen. B., Ghosh, Malay and Chatterjee, Nilanjan (2010). Bayesian Sample Size Determination for Case-Control Studies of Gene-Environment Interaction Biometrics e-pub..
- Ahn, Jaeil, Mukherjee, Bhramar, Gruber, Stephen. B. and Sinha, Samiran (2010). Missing Exposure Data in Stereotype Regression Model: Application to Matched Case-Control Study with Disease Subclassification Biometrics e-pub ahead of print..
- Ahn, Jaeil, Mukherjee, Bhramar, Banerjee, Mousumi, Cooney, Kathy (2009). Bayesian inference for the stereotype regression model: Application to a case-control study of prostate cancer. Statistics in Medicine 3139-3157.
- Kastrinos, Fay*, Mukherjee, Bhramar*, Tayob, Nabihah, Sparr, Jennifer, Raymond, Victoria.M., Wang, Fei, Bandipalliam, Prathap., Stoffel, Elena .M. Gruber, Stephen B., Syngal, Sapna. (2009). The Risk of Pancreatic Cancer in Lynch Syndrome Journal of the American Medical Association 1790-1795.
- Mukherjee, Bhramar and Liu, Ivy (2009). A characterization of bias for fitting multivariate generalized linear models under choice-based sampling Journal of Multivariate Analysis 459-472.
- Mukherjee, Bhramar and Chatterjee, Nilanjan (2008). Exploiting gene-environment independence for analysis of case-control studies: An empirical-Bayes type shrinkage estimator to trade off between bias and efficiency Biometrics 685-694.
- Mukherjee, Bhramar, Ahn, Jaeil, Rennert, Gad, Gruber, Stephen, Moreno, Victor and Chatterjee, Nilanjan (2008). Testing gene-environment interactin from case-control data: A novel study of Type-1 error, power and designs. Genetic Epidemiology. 615-626.
- Mukherjee, Bhramar, Ahn, Jaeil, Liu, Ivy, Rathouz, Paul and Sanchez, Brisa (2008). On elimination of nuisance parameters in stratified proportional odds model by amalgamating conditional likelihoods. Statistics in Medicine. 4950-4971.
- Mukherjee,Bhramar, Zhang, Li, Ghosh,Malay and Sinha, Samiran (2007). Bayesian semiparametric analysis of case-control data under conditional gene-environment independence Biometrics 834-844.
- Sinha, Samiran, Mukherjee, Bhramar,Ghosh, Malay, Mallick, Bani K. and Carroll, Raymond J. (2005). Bayesian semiparametric analysis of matched case-control studies with missing exposure. Journal of the American Statistical Association pp 591-601.