Megan Mathews

Megan Mathews is a statistical analyst at the RAND Corporation. She has provided analytic input on health research topics related to pay-for-performance, quality of care, and patient satisfaction. Mathews has experience applying a wide variety of statistical methods such as propensity score estimation, multi-level and and mixed modeling, survival analysis, analysis of survey data, and other modeling techniques. She also contributes to project reports and journal articles.

Prior to her work at RAND, Mathews was employed as a data research analyst in the workers' compensation insurance industry where she contributed through predictive analytics used for claims handling improvements as well as other network and operational program evaluations. Mathews also worked at the Office of Immigration Statistics in the Department of Homeland Security evaluating the flow of nonimmigrant admissions. She was a graduate fellow at the National Institutes of Health working for the National Institute of Child Health and Development on methods of adjusted comparison of medians for interval type outcomes. Mathews received her Master of applied statistics from Pennsylvania State University.