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.