Strata variables can be selected to perform a stratified analysis when the trait is binary or survival. In a stratified analysis for a binary trait, separate intercepts are fit for each stratum, but a single estimate is obtained for each model effect conditional on the intercepts. Stratified survival analysis involves fitting a separate baseline hazard function for each stratum but again calculating a single set of effect estimates.
A Censor Variable must be selected when performing analysis of a Survival trait. This variable indicates which observations have been censored - often, this is an indicator of whether a patient is living at the end of a study.