swMATH ID: 29281
Software Authors: Klein JP Gerster M, Andersen PK, Tarima S, Perme MP
Description: SAS and R functions to compute pseudo-values for censored data regression. Recently, in a series of papers, a method based on pseudo-values has been proposed for direct regression modeling of the survival function, the restricted mean and cumulative incidence function with right censored data. The models, once the pseudo-values have been computed, can be fit using standard generalized estimating equation software. Here we present SAS macros and R functions to compute these pseudo-values. We illustrate the use of these routines and show how to obtain regression estimates for a study of bone marrow transplant patients. .. The SAS macro and R function “pseudosurv” compute pseudo-values for modeling the survival function based on the Kaplan–Meier estimator. The SAS macro and R function “pseudomean” provide pseudo-values for the restricted mean survival time. The SAS macro and R function “pseudoci” provide pseudo-values for the cumulative incidence function for competing risks data.
Homepage: https://www.sciencedirect.com/science/article/pii/S0169260707002945
Dependencies: SAS; R
Keywords: Cumulative incidence; GEE; Kaplan-Meier curves; Pseudo-values; Restricted mean survival; SAS; R functions
Related Software: geepack; cmprsk; R; PROC GENMOD; KMsurv; pseudo; PROC LIFETEST; SAS; CRAN; mstate; Rcpp; timereg; tmle; Fahrmeir; multicore; survival
Referenced in: 7 Publications

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