Dr. Ayyagari is a trained biostatistician and 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, and indirect and mixed treatment comparisons. 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, and leading the development of software tools to communicate the economic value of therapies. Dr. Ayyagari was previously a research fellow at the Harvard School of Public Health and a biostatistician with Information Management Services, Inc.
Dr. Ayyagari is a trained biostatistician and 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, and indirect and mixed treatment comparisons. 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, and leading the development of software tools to communicate the economic value of therapies. Dr. Ayyagari was previously a research fellow at the Harvard School of Public Health and a biostatistician with Information Management Services, Inc.