I'm still in the process of trying to apply the suggestions that you made. Currently trying to reintroduce myself to SAS after some time off and applying it in this way which I have not done before. The code shown is still the same as before. I'm assuming that I change the i = 1 to 100 to become i = 1 to 500 since I want to generate 500 observations. Still trying to figure out how to specify a mean of 40. I see that the Exponential Distribution is variable = RAND('Exponential', <sigma>). ... View more

data survData; lambdat = 0.02; *baseline hazard; lambdac = 0.04; *censoring hazard; do i = 1 to 100; t = RANEXP(12345)/lambdat; * time of event; c = RANEXP(67890)/lambdac; * time of censoring; time = min(t, c); * which happens first?; censored = (c < t); * censored when the censoring hapapened before event; output; end; drop i lambda:; run; proc freq data=SurvData; tables censored ; run; proc univariate data=survData; histogram T C; run; Above is the sample code that I have and below are a few questions. This is the same code & questions from earlier, but now they are copy and pasted instead of images. simulate a survival data with the following specifications: Event time T follows an exponential distribution with a mean of 40 Censoring time Tc follows an exponential distribution with a mean of 25 Generate 500 observations, with censoring flag indicating whether censoring happened before events. ... View more