Beth Ann Griffin is a senior statistician at RAND and codirector of the the NIDA-funded RAND/USC Opioid Policy Tools and Information Center (OPTIC) whose goal is to foster innovative research, tools, and methods for tackling the opioid epidemic. Her statistical research has focused on methods for estimating causal effects using observational data. Her public health research has primarily fallen into three areas: (1) the effects of gun and opioid state policies on outcomes, (2) substance use and mental health, and (3) the impact of nongenetic factors on Huntington's disease.
Griffin codirected the RAND Center for Causal Inference between 2013 and 2018. She has served as the principal investigator on four grants sponsored by the National Institute of Drug Abuse (NIDA), the latest two devoted to developing new tools and methods to understand causal mediation and moderation and assess the sensitivity of effect estimates to omitted variables (www.rand.org/statistics/twang), and well-operationalized, empirically-supported sequences of decision rules—known as “Adaptive Interventions” (AIs)—to provide guidance about substance-use services decisions for adolescent clients.
Griffin's research has appeared in leading journals such as Drug and Alcohol Dependence, Statistics in Medicine, Journal of the American Statistical Association, Annals of Applied Statistics, Journal of Causal Inference, and American Journal of Public Health. Griffin also serves on the editorial board of the Annals of Applied Statistics. She received her Ph.D. in biostatistics from Harvard University.
Ph.D. in biostatistics, Harvard University; S.M. in biostatistics, Harvard University; B.A. in mathematics, University of Pennsylvania
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