[R] Design Survplot performance

Hi, I have a Cox PH model that's large for my server, 120K rows, ~300 factors with 3 levels each, so about 1000 columns. The 300 factors all pass a preliminary test of association with the outcome. Solving this with cph from Design takes about 3 hours. I have created the fit with x=T, y=T to save

Re: [R] Design Survplot performance

Replace the soon-to-be Design with rms. Specify surv=TRUE to cph so that approximate rather than fully correct standard errors will be computed by survplot/survest. Frank christopher.a.hane wrote: Hi, I have a Cox PH model that's large for my server, 120K rows, ~300 factors with 3 levels