Brandon Koch, PhD

Assistant Professor

Brandon Koch, PhD


1841 Neil Ave.
Columbus, OH 43210


Dr. Koch's primary methodological research interests are in causal inference, machine learning, variable selection, and Bayesian modeling. He is particularly interested in causal inference with observational data in small samples, and heterogeneous treatment effect estimation in randomized studies. He collaborates with the Department of Otolaryngology in the College of Medicine.

Causal inference, machine learning, variable selection, Bayesian modeling, and treatment effect heterogeneity.

Ph.D., University of Minnesota Division of Biostatistics, 2018

Venkatasubramaniam A, Koch B, Erickson L, French S, Vock D, and Wolfson J (2021). Assessing effect heterogeneity of a randomized treatment using conditional inference trees. Statistical Methods in Medical Research. OnlineFirst.

Ajumobi O, Verdugo S R, Labus B, Reuther P, Lee B, Koch B, Davidson P J, and Wagner K D (2021). Identification of Non-Fatal Opioid Overdose Cases Using 9-1-1 Computer Assisted Dispatch and Pre-Hospital Patient Clinical Record Variables. Prehospital Emergency Care. Online ahead of print.

Wagner K D, Koch B, Bowles J M, Verdugo S R, Harding R W, and Davidson P J (2021). Ethnographic Decision Tree Modeling to identify factors associated with calling 911 for an overdose. American Journal of Public Health, 111(7), 1281-1283.

Pearson J L, Zhou Y, Smiley S L, Rubin L F, Harvey E, Koch B, Niaura R, and Abrams D B (2021). Intensive longitudinal study of the relationship between cigalike e-cigarette use and cigarette smoking among adult cigarette smokers without immediate plans to quit smoking. Nicotine and Tobacco Research, 23(3), 527-534.

Johnson, L M, Green Jr H D, Koch B, Harding R, Stockman J K, and Wagner, K D (2021). Correlates of medical mistrust among minority women at risk for HIV and their networks. Health Education and Behavior, 48(6), 860-872.

Lucero J E, Emerson A, Bowser T, and Koch B (2021). Mental Health Risk Among Members of the Millennial Population Cohort: A Concern for Public Health. American Journal of Health Promotion, 35(2), 266-270.

Johnson L M, Green Jr H D, Koch B, Stockman J K, Felsher M, Roth A M, and Wagner K D (2021). The role of social networks and social norms in anticipated PrEP use in a racially-diverse sample of at-risk women and members of their social networks. Journal of Acquired Immune Deficiency Syndromes, 86(4), 422-429.

Koch B, Vock D M, Wolfson J, and Vock LB (2020). Variable selection and estimation in causal inference using Bayesian spike and slab priors. Statistical Methods in Medical Research, 29(9), 2445-2469.

Koch B, Vock D M, and Wolfson J (2018). Covariate selection with group lasso and doubly robust estimation of causal effects. Biometrics, 74(1), 8-17.