Maria DeYoreo is a senior statistician at RAND. DeYoreo's substantive interests include health care quality and performance measurement, Medicare Advantage, hospice care, and maternal/child health (e.g., breastfeeding, doula care). Her methodological interests include causal inference and quasi-experimental methods, Bayesian modeling, multi-level modeling, missing data imputation, and data fusion. 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). She was previously the co-director of the RAND Center for Causal Inference. 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, focused on missing data imputation and data fusion.

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

Authored by Maria DeYoreo

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