Caleb Miles

Caleb Miles

Caleb Miles

Assistant Professor


722 W 168th St, RM 630
New York NY United States 10032

Website address: Email: Twitter: CV:


Dr. Caleb Miles works on developing semiparametric methods for causal inference and applying them to problems in public health. His applied work has largely been in HIV/AIDS, and he has more recently begun to work on psychiatric applications as well. Dr. Miles' current methodological research interests include the interface between machine learning and causal inference, interference and network data, mediation analysis, and measurement error.



PhD, 2015, Harvard University

Editorial Boards

Associate Editor, International Journal of Biostatistics

Areas of Expertise

Data Science, Longitudinal Studies, Missing Data, Predictive Modeling/Machine Learning, Research Design and Methods, HIV/AIDS

Select Publications

Miles, C. H., Petersen, M., & van der Laan, M. J. (2019). Causal Inference When Counterfactuals Depend on the Proportion of All Subjects Exposed. Biometrics.

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

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

Miles, C. H., Kanki, P., Meloni, S., & Tchetgen Tchetgen, E. J. (2017). On Partial Identification of the Natural Indirect Effect. Journal of Causal Inference, 5(2).

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