My research is focused in how to report results in randomized trials with informative missing/censored data or irregular assessment times and in observational studies with non-random and time-varying treatment assignment.
In my research, I focus on frequentist and Bayesian approaches to evaluating the robustness of results to assumptions such as missing at random and no unmeasured confounding. I am interested in formal sensitivity analysis procedures as well as methods for constructing bounds on treatment effects. I favor the incorporation of auxiliary information into the analysis to help increase the plausibility of assumptions, narrow the range of the sensitivity analysis, or shrink the bounds