Regression analysis of censored data using pseudoobservations

In a series of papers, a method based on pseudovalues has been proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. Once the pseudovalues have been computed, one can fit the models using standard generalized estimating equation software. In this talk, I will present three Stata procedures to compute these pseudoobservations and give examples of applications. I also present guidelines for the number of variables in the regression analyses and discuss future updates of the procedures.