Beth Ann Griffin

Photo of Beth Ann Griffin
Senior Statistician; Professor, Pardee RAND Graduate School
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 non-genetic factors on Huntington’s disease, and (3) the effects of gun and opioid state policies on outcomes. She co-directed the RAND Center for Causal Inference between 2013-2018. Currently, Griffin is a co-investigator on Gun Policy in America, a RAND initiative to understand the effects of gun policies, and is co-directing RAND’s Opioid Policy Tools and Information Center (OPTIC) to foster innovative research, tools and methods for tackling the opioid epidemic.

She is the principal investigator on two grants sponsored by the National Institute of Drug Abuse (NIDA), one focused on developing new tools and methods to understand causal mediation and moderation and assess the sensitivity of effect estimates to omitted variables (, and another which aims to develop 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.

Pardee RAND Graduate School Courses

Recent Projects

  • Gun Policy in America: A RAND Initiative
  • Co-director of RAND Center for Causal Inference
  • 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

Griffin, BA, McCaffrey, D, Almirall, D, Setodji, C, Burgette, L. , "Chasing balance and other recommendations for improving nonparametric propensity score models.," Journal of Causal Inference. , 5(2), 2017

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: Study protocol of a mixed-methods approach. ," Addiction Science & Clinical Practice as a “Study Protocol" (forthcoming)

Setodji, C. M., McCaffrey, D. F., Burgette, L. F., Almirall, D., & Griffin, B. A. , "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

Ridgeway, G, Kovalchik, S, Kabeto, M, Griffin, BA, "Propensity score analysis with survey weighted data," Journal of Causal Inference (forthcoming)

Deployment Life Team (including Griffin, BA), The Deployment Life Study: Methodological overview and baseline sample description, RAND Corporation (RR-209), 2014

Schell, T, Griffin, BA, Morral, A. , Identifying Statistical Methods that Accurately Estimate the Causal Effects of Policy on Firearms Deaths (forthcoming)