MLtoSurvival-Data

We generated two batches of data, where each batch consists of 20 datasets. For the low dimensional batch, we used 5 predictive parameters, of which 2 were dummy parameters (i.e. had no impact) and three were predictive. For the medium dimension batch, we used 25 predictors, of which 2 were dummy and 23 predictive.In each batch, we varied the event rate from 10% to 70% and the censor rate from 0% to 70% in 20% steps, and used a set population size of 3000.This therefore led to two batches, each of 20 datasets of 3000 subjects.