Caleb Miles, PhD

  • Assistant Professor, Biostatistics
Profile Headshot


Dr. Caleb Miles works on developing semiparametric methods for causal inference and applying them to problems in public health. His applied work is largely in HIV/AIDS, psychiatry, anesthesiology, and urology. His current methodological research interests include causal inference, its intersection with machine learning, mediation analysis, interference, and measurement error.

Academic Appointments

  • Assistant Professor, Biostatistics

Credentials & Experience

Education & Training

  • PhD, 2015 Harvard University

Committees, Societies, Councils

Associate Editor, International Journal of Biostatistics


Research Interests

  • Biostatistical Methods

Selected Publications

Miles, C.H. “On the causal interpretation of randomised interventional indirect effects.” Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023: qkad066,

Miles, C.H., Shpitser, I., Kanki, P., Meloni, S., & Tchetgen Tchetgen, E.J. "On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding." Biometrika: 107(1). 159-172, 2020.

Miles, C.H., Petersen, M., & van der Laan, M.J. "Causal inference when counterfactuals depend on the proportion of all subjects exposed." Biometrics: 75(3). 768-777, 2019.

Miles, C.H., Schwartz, J., & Tchetgen Tchetgen, E.J. "A class of semiparametric tests of treatment effect robust to confounder measurement error." Statistics in Medicine: 37(24). 3403-3416, 2018.

Miles, C.H., Shpitser, I., Kanki, P., Meloni, S., & Tchetgen Tchetgen, E.J. "Quantifying an adherence path-specific effect of antiretroviral therapy in the Nigeria PEPFAR program." Journal of the American Statistical Association: 112(520). 1443-1452, 2017.

Miles, C.H., Kanki, P., Meloni, S., & Tchetgen Tchetgen, E.J. "On partial identification of the natural indirect effect." Journal of Causal Inference: 5(2). 2017.