Nandita Mitra, PhD
|Office Location||212, Blockley Hall|
|CCEB Appointment||Senior Scholar, Biostatistics|
|Primary Faculty Appointment||Associate Professor of Biostatistics at HUP, University of Pennsylvania Perelman SOM|
Senior Fellow, Leonard Davis Institute of Health Economics
Member, Abramson Cancer Center
Associate Director, Graduate Programs in Biostatistics
Director of Admissions
Nandita Mitra received her BA in Mathematics from Brown University in 1992, MA in Biostatistics from the University of California, Berkeley in 1996 and her Ph.D. in Biostatistics from Columbia University in 2001. She joined the faculty in 2005, after having previously completed a postdoctoral fellowship at the Harvard School of Public Health in statistical genetics and after serving on the faculty of Memorial Sloan-Kettering Cancer Center.
Her primary research interest is in statistical genetics where she has worked extensively on SNP and haplotype problems in the context of family based and population based association studies. In addition, she has research interests in the theory of causal inference, propensity score methods, and health economics. She has collaborated with investigators in a number of medical areas, including clinical genetics and oncology. Specifically she has worked on studies that have investigated genetic associations in melanoma, breast, lung and colon cancers. She has also worked on population based outcomes and cost-effectiveness studies using SEER-Medicare data in the areas of colon, prostate and bladder cancer.
BSTA 787: Statistical Genetics Methods for Complex Human Disease
HPR 608: Applied Regression Analysis for Health Policy Research
Mitra N, Schnabel FR, Neugut AI, Heitjan DF: Estimating the effect of an intensive surveillance program on stage of breast carcinoma at diagnosis: a propensity score analysis. Cancer, 91, 1709-1715, 2001.
Mitra N, Ye TZ, Smith A, Chuai S, Kirchhoff T, Peterlongo P, Nafa K, Phillips MS, Offit K, Ellis NA: Localization of cancer susceptibility genes by genome-wide-nucleotide polymorphism linkage disequilibrium mapping. Cancer Research, 64(21): 8116-8125, 2004
Venakatraman ES, Mitra N, Begg CB. A method for evaluating the impact of individual haplotypes on disease incidence in molecular epidemiology studies. Statistical Applications in Genetics and Molecular Biology, 13:1, article 27, 2004.
Mitra N, Indhurkya A. A propensity-score approach to estimating the cost-effectiveness of medical therapies from observational data. Health Economics, 14: 805-815, 2005.
Mitra N, Heitjan DF: Sensitivity of the hazard ratio to nonignorable treatment assignment in an observational study. Statistics in Medicine, 26(6): 1398-1414, 2007
Zhao H, Rebbeck TR, Mitra N: A propensity score approach to correction for bias due to population stratification using genetic and non-genetic factors. Genetic Epidemiology, 33(8): 679-690, 2009
Kanetsky PA, Mitra N, Vardhanabhuti S, Li M, Vaughn DJ, Letrero R, Ciosek SL, Doody DR, Smith LM, Weaver J, Albano A, Chen C, Starr JR, Rader DJ, Godwin AK, Reilly MP, Hakonarson H, Schwarz SM, Nathanson KL: Common variation in KITLG and at 5q31.3 predisposes to testicular germ cell cancer. Nature Genetics 41(7): 811-815, 2009