SAS and R functions to compute pseudo-values for censored data regression
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Updated: Jul 8, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
John P Klein1, Mette Gerster, Per Kragh Andersen
1Division of Biostatistics, Department of Population Health, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA. klein@mcw.edu
Abstract:
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.
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