Nandita Mitra
From Wikipedia, the free encyclopedia
Nandita Mitra is an American biostatistician, and a professor in the Department of Biostatistics and Epidemiology of the Perelman School of Medicine at the University of Pennsylvania.[1] Her research topics include causal inference, health economics and cost-effectiveness analysis, difference in differences estimation, and statistical applications in public health and cancer research.[2] She is editor-in-chief of Observational Studies.[3]
Mitra majored in mathematics at Brown University, graduating in 1992. After a 1996 master's degree in biostatistics at the University of California, Berkeley, she completed a PhD in biostatistics at Columbia University in 2001.[1] Her dissertation, Analyzing Data From Non-Randomized Studies Using Propensity Score Methodology, was supervised by Daniel F. Heitjan.[4]
She became a postdoctoral fellow at the Harvard T.H. Chan School of Public Health and a faculty member at the Memorial Sloan Kettering Cancer Center before moving to the University of Pennsylvania in 2005.[5]
Mitra is editor-in-chief of Observational Studies, an open-access journal published by the University of Pennsylvania.[3] She was the 2023 chair of the American Statistical Association Section on Statistics in Epidemiology.[6]
