Beth Ann Griffin

Photo of Beth Ann Griffin
Senior Statistician
Off Site Office


Ph.D. in biostatistics, Harvard University; S.M. in biostatistics, Harvard University; B.A. in mathematics, University of Pennsylvania

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Beth Ann Griffin is a senior statistician at the RAND Corporation. Her research has largely focused on causal effects estimation when using observational data. Her substantive research has primarily fallen into three areas: (1) substance abuse treatment for adolescents, (2) the impact of nongenetic factors on Huntington's disease, and (3) the effects of gun and opioid state policies on outcomes. She codirected the RAND Center for Causal Inference between 2013 and 2018. Currently, Griffin is a coinvestigator on Gun Policy in America, a RAND initiative to understand the effects of gun policies, and is codirecting RAND's Opioid Policy Tools and Information Center (OPTIC) to foster innovative research, tools, and methods for tackling the opioid epidemic.

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 (, 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.

Previous Positions

Codirector of RAND Center for Causal Inference

Recent Projects

  • Gun Policy in America: A RAND Initiative
  • Developing methodological tools for evaluating opioid state policies
  • Identifying effective adaptive interventions for adolescent substance users
  • Examining impact of non-genetic factors on Huntington’s disease progression

Selected Publications

Grant, S, Pedersen, E, Agneil, D, Almirall, D, Burkhart, Q, Hunter, S, McCaffrey, DF, Ramchand, R, Griffin, BA, "Developing adaptive interventions for adolescent substance use treatment settings: protocol of an observational, mixed-methods project," Addiction Science & Clinical Practice, 12(1), 2017

Setodji, CM, McCaffrey, DF, Burgette, LF, Almirall, D, & Griffin, BA, "The Right Tool for the Job: Choosing Between Covariate-balancing and Generalized Boosted Model Propensity Scores," Epidemiology, 28(6), 2017

Griffin, BA, Ramchand, R, Almirall, D, Slaughter, ME, Burgette, LF, McCaffrey, D, "Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting," Drug and Alcohol Dependence, 136(1), 2014

McCaffrey, DF, Griffin, BA, Almirall, D, Slaughter, ME, Ramchand, R, Burgette, LF, "A tutorial on propensity score estimation for multiple treatments using generalized boosted models," Statistics in Medicine, 32(19), 2013

Schell, T, Griffin, BA, Morral, A, Evaluating Methods to Estimate the Effect of State Laws on Firearm Deaths: A Simulation Study, RAND (RR-2685), 2018

Griffin, BA, Ayer, L, Pane, J, Vegetabile, BG, Burgette, LF, McCaffrey, DM, Coffman, DL, Cefalu, M, Funk, R, Godley, M, "Expanding outcomes when considering the relative effectiveness of two evidence-based outpatient treatment programs for adolescent," Journal of Substance Abuse Treatment, 118, 2020