Lane Burgette is a senior statistician at the RAND Corporation. He is also a faculty member at Pardee RAND Graduate School. His research focus is causal inference and Bayesian modeling in the health and social sciences.
Burgette's methodological interests include models of categorical outcomes, propensity score 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
