Rajeev Ayyagari

Vice President
Rajeev Ayyagari



Ph.D., biostatistics, Harvard University; M.S., computer science, University of Maryland; M.A. and B.A., statistics, Indian Statistical Institute

Summary of Experience

Dr. Ayyagari is experienced in applying statistical techniques to the study of clinical and economic outcomes in a broad range of disease areas, including diabetes, cardiovascular disease, oncology, psychiatry, immunology, and infectious diseases. His expertise includes comparative efficacy and safety, risk prediction, missing data problems, identification of causal effects in observational studies, robust estimation, indirect and mixed treatment comparisons, and applications of artificial intelligence (AI) and large language models to health care. Dr. Ayyagari’s recent work includes evaluating the comparative efficacy of inhibitors in diabetes for regulatory submissions, assessing the causal effect of adherence on diabetes outcomes, developing stroke risk models incorporating pulse pressure, developing a social experiment on attitudes towards people with movement disorders, leading the development of software tools to communicate the economic value of therapies, and leading the deployment of generative AI-based systems for automated literature summarization. His research has been published in the Journal of the American Statistical Association, Journal of the National Cancer Institute, Cancer Treatment Reviews, Pediatric Pulmonology, and elsewhere. Dr. Ayyagari has also presented his work at health care and data mining conferences. Prior to joining Analysis Group, he was a research fellow at the Harvard School of Public Health and a biostatistician with Information Management Services, Inc.

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