My research interests involve identification and estimation of causal time-varying treatment effects on disease outcomes in the presence of complex time-varying confounding.

Methodologic areas: survival analysis, longitudinal data analysis, methods for current status data, simulation from structural models, inverse probability weighted estimation, marginal structural models, parametric g-computation, g-estimation, structural nested models

Application areas: HIV/AIDS, effects of lifestyle interventions on chronic disease, environmental and psychiatric epidemiology