Nandita Mitra, Ph.D.
University of Pennsylvania Perelman School of Medicine
622 Blockley Hall, 423 Guardian Drive
Philadelphia, Pa 19104
Brown University, 1992.
University of California at Berkeley, 1996.
Columbia University, 2001.
Selected PublicationsMitra N, Indurkhya A: A propensity score approach to estimating the cost-effectiveness of medical therapies from observational data. Health Economics 14(8): 805-815, August 2005.
Indurkhya A, Mitra N, Schrag D: Using propensity scores to estimate the cost-effectiveness of medical therapies. Statistics in Medicine 25(9): 1561-1576, May 2006.
Handorf EA, Bekelman JE, Heitjan DF, Mitra N: Evaluating costs with unmeasured confounding: A sensitivity analysis for the treatment effect. Annals of Applied Statistics 7(4): 2062-2080, December 2013.
Li Jiaqi, Handorf E, Bekelman J, Mitra N: Propensity score and doubly robust methods for estimating the effect of treatment on censored cost. Statistics in Medicine 35(12): 1985-1999, May 2016.
Li J, Vachani A, Epstein A, Mitra N: A doubly robust approach for cost-effectiveness estimation from observational data. Statistical Methods in Medical Research Jan 2017 Notes: 962280217693262. doi: 10.1177/0962280217693262. [Epub ahead of print]
Spieker A, Roy J, Mitra N: Analyzing medical costs with time-dependent treatment: The nested g-formula. Health Economics 27(7): 1063-1073, Jul 2018.
Handorf EA, Heitjan DF, Bekelman JE, Mitra N: Estimating cost-effectiveness from claims and registry data with measured and unmeasured confounders. Statistical Methods in Medical Research Jan 2018 Notes: DOI: 10.1177/0962280218759137. [Epub ahead of print]
Venkatraman 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 3: article 27, October 2004.
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, December 2009.
Mitra N, Heitjan DF: Sensitivity of the hazard ratio to nonignorable treatment assignment in an observational study. Statistics in Medicine 26(6): 1398-1414, March 2007.
French B, Lumley T, Cappola TP, Mitra N: Non-iterative, regression-based estimation of haplotype associations with censored survival outcomes. Statistical Applications in Genetics and Molecular Biology 11(3): 1-22, February 2012.
Zhao H, Rebbeck TR, Mitra N: Analyzing genetic association studies with an extended propensity score approach. Statistical Applications in Genetics and Molecular Biology 11(5): 1544-6115, October 2012.
Zhu Y, Ghosh D, Mitra N, Mukherjee B: A data-adaptive strategy for inverse weighted estimation of causal effects. Health Services and Outcomes Research Methodology 14(3): 69-91, Sep 2014.
Wan F, Small D, Bekelman J, Mitra N: Bias in estimating the causal hazard ratio when using two-stage instrumental variable methods. Statistics in Medicine 34(14): 2235-65, Jun 2015.
Wan F, Mitra N: An evaluation of bias in propensity score-adjusted non-linear regression models. Statistical Methods in Medical Research 3(27), Mar 2018 Notes: 2016 Apr 19. pii: 0962280216643739. [Epub ahead of print]
Kennedy EH, Kangovi S, Mitra N: Estimating scaled treatment effects with multiple outcomes. Statistical Methods in Medical Research Jan 2017 Notes: DOI:10.1177/0962280217747130. [Epub ahead of print]
Wan F, Small D, Mitra N: A general approach to evaluating the bias of 2-stage instrumental variable estimators. Statistics in Medicine 37(12): 1997-2015, May 2018.