My research is focused on using methods in causal inference and machine learning and the vast amount of data available in healthcare (e.g., electronic health records) to inform clinical decision-making and future trial design. I currently teach causal inference methodology at the Harvard T.H. Chan School of Public Health and previously taught clinical data science at the Harvard Medical School.
- Dickerman BA, García-Albéniz X, Logan RW, Denaxas S, Hernán MA. Emulating a target trial in case-control designs: an application to statins and colorectal cancer. International Journal of Epidemiology. 2020;49(5):1637-1646
- Dickerman BA, Hernán MA. Counterfactual prediction is not only for causal inference. European Journal of Epidemiology. 2020;35(7):615-617
- Dickerman BA, García-Albéniz X, Logan RW, Denaxas S, Hernán MA. Avoidable flaws in observational analyses: an application to statins and cancer. Nature Medicine. 2019;25:1601-1606
- Guideline-based physical activity and survival among US men with nonmetastatic prostate cancer. American Journal of Epidemiology. 2019;188 (3) :579-586 .