Bhramar Mukherjee, Ph.D.

Bhramar Mukherjee

Professor of Biostatistics

Professor of Epidemiology

Associate Chair for Academic Affairs, Biostatistics

M4166 SPH II      Vcard icon
1415 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 764-6544; Fax: (734) 763-2215


Website(s): Personal homepage

Curriculum Vitae (PDF)

Professional Summary

Bhramar Mukherjee is  a Professor in the Department of Biostatistics, joining the department in Fall, 2006, after spending four years as an Assistant Professor in the Department of Statistics at the University of Florida. 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.

Courses Taught

BIOSTAT698: Modern Statistical Methods in Epidemiologic Studies


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 illustrate the advantage of using Bayesian techniques for flexible, hierarchical modeling of epidemiological data. 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 analyzing spatio-temporal data under biased sampling design. I am interested in Bayesian nonparametric techniques and foundational issues related to outcome dependent sampling.

Selected Publications

Search PubMed for publications by Bhramar Mukherjee >>

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, 28, 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, 16, 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, 100, 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, 64, 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., 32, 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., 27, 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, 63, No 3, 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, Vol 100, No. 470, pp 591-601.

Please see my personal webpage for a complete and updated list of publications.