Maria DeYoreo

Maria DeYoreo
Codirector, RAND Center for Causal Inference; Statistician

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 RAND and co-director of the Center for Causal Inference. Her methodological interests include Bayesian modeling, multi-level modeling, missing data imputation, data fusion, and causal inference. DeYoreo's substantive interests include health care quality and performance measurement, and maternal/child health. She co-leads a team that works with the Centers for Medicare & Medicaid Services to generate the Medicare Advantage Star Ratings (quality performance ratings for health plans). Her research experience also includes the following topic areas: microsimulation models and age-period-cohort modeling for colorectal cancer, sexual assault and suicide in the military, health care consolidation/health systems, and interventions for substance abuse, breastfeeding, and smoking cessation. 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 ordinal regression. She completed postdoctoral research at Duke University, where she developed imputation models for mixed multivariate outcomes, and modeling approaches for data fusion and measurement error.

Publications