Anagha Tolpadi (she/her) is a senior statistical analyst at RAND. She conducts statistical analyses to address research questions in a variety of health policy areas, such as health equity, quality of care, patient satisfaction, and pay-for-performance. She conducts statistical analyses using a variety of statistical methods such as propensity scoring, survey data analysis, survival analysis, mixed and multi-level modeling, and imputation of missing data. She applies survey methodology to design and implement sampling processes and to analyze complex data using analytic techniques such as sampling weights, case-mix adjustment, response rate analyses, and mode effects. She leads sampling and other analytic tasks, interprets quantitative results, and compiles findings for internal and external dissemination.
Tolpadi is proficient in many statistical softwares, such as SAS, R, Stata, and IVEware. She received her M.S. in biostatistics from the University of Michigan and her B.A. in statistical science from Cornell University.
M.S. in biostatistics, University of Michigan; B.A. in statistical science, Cornell University
