SAS and R functions to compute pseudo-values for censored data regression

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...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2008-03, Vol.89 (3), p.289-300
Main Authors: Klein, John P, Gerster, Mette, Andersen, Per Kragh, Tarima, Sergey, Perme, Maja Pohar
Format: Article
Language:English
Subjects:
Biometry
Bone Marrow Transplantation
Cumulative incidence
Data Interpretation, Statistical
GEE
Humans
Internal Medicine
Kaplan-Meier Estimate
Kaplan–Meier curves
Logistic Models
Models, Statistical
Other
Proportional Hazards Models
Pseudo-values
Regression Analysis
Restricted mean survival
Risk
Software
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Summary: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.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2007.11.017