Eric J. Tchetgen Tchetgen

Eric J. Tchetgen Tchetgen is a Professor at the University of Pennsylvania, affiliated with the Department of Statistics and Data Science. His research focuses on semiparametric theory, nonparametric statistics, causal inference, missing data, and epidemiologic methods. He is also a Professor of Biostatistics in Biostatistics and Epidemiology. His work involves developing statistical and epidemiologic methods that efficiently utilize data while avoiding unnecessary assumptions about the data generating mechanism. He has contributed to areas such as causal inference, missing data problems, and statistical genetics. His research includes the development of methods for prediction sets that adapt to unknown covariate shift, as well as work on semiparametric efficiency theory and doubly robust inference.

Eric J Tchetgen Tchetgen is a University Professor specializing in causal inference, missing data, HIV, and epidemiology. His research focuses on methodological challenges in causal inference, particularly in the presence of confounding, interference, and missing data. He has contributed to the development of statistical tools for mediation analysis, Mendelian randomization, and the evaluation of instrumental variable assumptions. His work addresses critical issues in observational studies, including bias due to selective attrition and the application of causal frameworks to real-world public health problems such as HIV epidemiology and vaccine effectiveness. His research has significant implications for improving the validity and generalizability of causal inferences in biomedical and social sciences.