GENCOV: a Fortran program that generates randomly censored survival data with covariates

Abstract

We present a Fortran program for simulating censored survival data with covariates under the assumption of random censoring. The program generates times distributed according to the uniform distribution, the generalized Gamma distribution, the log-normal distribution and Pettitt's generalized logistic distribution with Box-Cox transformation of the time variable. Covariates can be introduced in the definition of the survival time, resulting in the generalized log-gamma, log-normal and Pettitt's regression models. Thereby the program provides the means for generating censored survival data according to parametric versions of three common regression models for censored survival data: the Accelerated Failure Time, the Proportional Hazards and the Proportional Odds models.