My primary research focus is the development of Bayesian causal inference methods for problems in public health and biomedical research. Recently, I have been developing methods for assessing the public health impact of air quality regulations and for advancing Bayesian methods that use propensity scores for comparing the effectiveness of clinical treatments using large administrative claims data.
Specific Methodological Interests: Principal stratification, treatment noncompliance, surrogate endpoints, mediation analysis, missing data, propensity scores, Bayesian variable selection, hierarchical models, spatial statistics.
Specific Applied Areas of Interest: Health policy, comparative effectiveness research, environmental epidemiology, air pollution, implementation science, HIV/AIDS.
Please see my CV for more detailed information about my research.