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...ses doesn't mean inevitable failure. The aim is to identify the true positives early, to offer further therapy. The data form presently disregards the potential multiplicity of measurements per individual, treating each as independent. For example: id <- c(a,a,a,b,b,b) # patient id risenumber <- c(1,2,3,1,2,3) # number of each rise per patient clinfail <- c(1,1,1,0,0,0) # censored indicator of clinical failure status (the endpoint) clinfailtime <- c(5,4,3,10,9,8) # time from rise to clinical failure endpoint riseval <- c(10,20,30,1,2,3) # value of test at the time of r...