Mousumi Banerjee is Anant M. Kshirsagar Collegiate Research Professor in the Department of Biostatistics and Director of Biostatistics at the Center for Healthcare Outcomes and Policy (CHOP). She is also a member of the University of Michigan Rogel Cancer Center. Dr. Banerjee received her BStat and MStat degrees in Statistics from the Indian Statistical Institute in Calcutta, India and her PhD in Statistics from the University of Wisconsin-Madison. Her methodological research focuses on tree-structured regression and ensemble methods, multilevel models, longitudinal analyses, survival analyses, and competing risks; with applications to cancer health services and outcomes research. Dr. Banerjee has served as Principal Investigator of methodology as well as applied grants from the National Science Foundation, National Institutes of Health, and the Department of Defense. She is also involved as a co-investigator in numerous R01s with faculty in the Cancer Center, Surgery, Pediatrics, and Internal Medicine. She is a Fellow of the American Statistical Association, and an elected member of the International Statistical Institute.
My methodological research interest is in tree-based regression and ensemble methods for survival data. This is motivated by the need of clinical researchers to define interpretable prognostic classification rules both for understanding the prognostic structure of data and for designing future clinical trials. I also work on statistical models and methods for analyzing competing risks data. In this context, I have been particularly interested in situations where the exact cause of death is only partially known. Finally, I am interested in multilevel data modelling, with a focus on model diagnostics and goodness of fit procedures. My applied research has focused on studies using data from population-based cancer registries to investigate disparities in patterns of cancer care and outcomes.
Banerjee M., Ding Y., Noone A.M (2012). Identifying Representative Trees from Ensembles Statistics in Medicine.
Zhao L, Banerjee M. (2012). Bayesian Piecewise Mixture Model for Racial Disparity in Prostate Cancer Progression Computational Statistics and Data Analysis, 56, 362-369.
Filson C.P., Banerjee M., Wolf S. Jr., Ye Z., Wei J.T., Miller D.C. (2011). Surgeon Characteristics and Long-term Trends in the Adoption of Laparoscopic Radical Nephrectomy Journal of Urology, 185, 2072-2077.
Haymart MR, Banerjee M, Stewart AK, Koenig RJ, Birkmeyer JD, Griggs JJ. (2011). Use of Radioactive Iodine for Thyroid Cancer Journal of the American Medical Association, 306, 721-728.
Sen A., Banerjee M., Li Y., Noone A.M. (2010). A Bayesian Approach to Competing Risks with Masked Cause of Death Statistics in Medicine, 29, 1681-1695.