Lane Burgette is a senior statistician at RAND. He is also a professor of policy analysis at the RAND School of Public Policy. His research focus is causal inference and Bayesian modeling in the health and social sciences.
Burgette's methodological interests span causal inference, including propensity score and entropy balancing methods, methods for missing data, and nonparametric modeling. His applied research interests include physician payment policy; cost, quality, and value of health care; and treatment for alcohol and other drug abuse. Burgette was trained at Whitman College, the University of Wisconsin-Madison, and Duke University and has taught at Duke and Johns Hopkins Universities. Burgette received his Ph.D. in statistics from the University of Wisconsin.
Ph.D. in statistics, University of Wisconsin
