SAS

Conference: MidWest SAS user group 2019, Chicago, Illinois, US Slides: See the handout

This is a hand-on workshop material that covers the most common used survival analysis technique in SAS. Conference: MidWest SAS user group 2019, Chicago, Illinois, US Slides: See the handout

Conference: SAS Global Forum 2019, Dallas, US Slides: See the handout

One parameter of interest in survival analysis is the median residual at time x. Recall the definition of survival function, the probability of a subject experiencing the events beyond time x , defined as $S(x)=Pr (X >x) $, X is a continuous random variable. The pth quantile is found by solving \(S(x_p)=1-p\). For example, the median lifetime is the 50th percentile \(x_{0.5}\), the 75 percentile lifetime is the 70th percentile \(x_{0.