Event

In observational studies and clinical trials, the sensitivity analysis has become a routine procedure for statistical data analysis. The sensitivity analysis is particularly important for two types of problems: unmeasured confounding and nonignorable missing data, in which some unverified assumptions are imposed in the statistical protocol. This workshop will present the basic set-up and statistical methods for conducting sensitivity analysis, especially in these two types of problems. Some state-of-the-art motivating examples and programming softwares will also be introduced.

Ashley Regling
Email: scholar1@buffalo.edu
Phone: 7168294718