postdoc in statistics, Duke University; Ph.D. in statistics, University of California, Santa Cruz; B.S. in mathematical sciences, University of California, Santa Barbara
Maria DeYoreo is an associate statistician at the RAND Corporation. Her methodological interests include Bayesian modeling, regression/classification, mixture modeling and Bayesian nonparametrics, missing data imputation, and data fusion. Her Ph.D. work developed flexible Bayesian nonparametric models for multivariate ordinal regression and binary regression. As a postdoc she developed imputation models for mixed multivariate outcomes, data fusion methods, and measurement error models. DeYoreo's substantive interests include mental health and substance abuse treatment, health care quality and policy, military health, and cancer modeling. Her research experience at RAND has included topics such as: health policy and program evaluation, provider performance assessment, microsimulation models for colorectal cancer, sexual assault and suicide in the military, health care quality and disparities. DeYoreo received her B.S. in mathematical sciences from the University of California, Santa Barbara, and her Ph.D. in statistics from the University of California, Santa Cruz. She completed postdoctoral research at Duke University.
