Maria DeYoreo

Photo of Maria DeYoreo
Associate Statistician
Santa Monica Office


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.

Honors & Awards

  • The Savage Award, International Society for Bayesian Analysis


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    Evaluation of the Global Payment Program: Midpoint Report

    The Global Payment Program seeks to improve health care for California's uninsured by providing funds for both traditional and non-traditional services, settings, and providers. This is the report of the midpoint evaluation of the program.

    Sep 7, 2018