The way to proceed is this: 1. Simulate the explanatory variables. 2. Simulate the response variable as a STATISTICAL MODEL of the explanatory variables. I haven't blogged about survival models, although they are discussed in Chapter 12 of my book (p.242-247). To get an idea about what it means to simulate a response from a model, start with the more familiar linear regression models: Linear regression models with categorical covariates Logistic regression models Generalized linear models with link functions  Although I haven't blogged about survival models, you can see examples on the web or you can read Gibbs and Kiernan (2020), "Simulating Data for Complex Linear Models." The survival example is p 17-18. ... View more

@PGStats. Thank you for your help with proc surveyselect. I am wondering, in what situations is proc survey select most often used? One of the other community members responded that this procedure does not in fact 'simulate' data - I now understand what was meant by that. I also better understand that my goal is to make sure the new simulated data set cannot be recognized as the original data set (I hope that makes sense?). However, I have read many discussions on this forum that it is difficult to simulate data for a large number of variables. Thanks, MichelleR0 ... View more