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]

Education and career

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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]

Recognition

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Mitra was named as a Fellow of the American Statistical Association in 2019.[7]

She was the 2024 recipient of the L. Adrienne Cupples Award for Excellence in Teaching, Research, and Service in Biostatistics, given by the Boston University School of Public Health.[2]

References

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  1. ^ a b "Nandita Mitra, Ph.D.", Our faculty, Perelman School of Medicine at the University of Pennsylvania, retrieved 2024-05-25
  2. ^ a b Penn Professor Nandita Mitra Wins 2024 Cupples Award, Boston University, April 5, 2024, retrieved 2024-05-25
  3. ^ a b Observational Studies Journal Information, University of Pennsylvania Press, retrieved 2024-05-25
  4. ^ Nandita Mitra at the Mathematics Genealogy Project
  5. ^ "Current Lab Members", Mitra Lab, retrieved 2024-05-25
  6. ^ "Officers", Section on Statistics in Epidemiology, American Statistical Association, retrieved 2024-05-25
  7. ^ Fellows, American Statistical Association, retrieved 2024-05-25
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