Barbra Dickerman
Research Fellow
Department of Epidemiology
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.
Selected Publications:
- 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