Maria DeYoreo

Photo of Maria DeYoreo
Statistician
Santa Monica Office

Education

postdoc in statistics, Duke University; Ph.D. in statistics, University of California, Santa Cruz; B.S. in mathematical sciences, University of California, Santa Barbara

Overview

Maria DeYoreo is a statistician at the RAND Corporation. Her methodological interests include Bayesian modeling, hierarchical modeling, regression/classification, Bayesian nonparametrics, missing data imputation and data fusion, and causal inference. DeYoreo's substantive interests include health care quality/policy and provider performance assessment, military health, mental health and substance abuse treatment, and colorectal cancer. Her research experience includes topics such as: provider performance assessment, microsimulation models for colorectal cancer, sexual assault and suicide in the military, health care quality, payment policy, and health 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, where she developed flexible Bayesian nonparametric models for multivariate ordinal regression and binary regression. She completed postdoctoral research at Duke University, where she developed imputation models for mixed multivariate outcomes, data fusion methods, and measurement error models. 

Honors & Awards

  • The Savage Award, International Society for Bayesian Analysis

Publications