Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

SAS and R functions to compute pseudo-values for censored data regression. Comput Methods Programs Biomed 2008 Mar;89(3):289-300

Date

01/18/2008

Pubmed ID

18199521

Pubmed Central ID

PMC2533132

DOI

10.1016/j.cmpb.2007.11.017

Scopus ID

2-s2.0-38649122710 (requires institutional sign-in at Scopus site)   105 Citations

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.

Author List

Klein JP, Gerster M, Andersen PK, Tarima S, Perme MP

Author

Sergey S. Tarima PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Biometry
Bone Marrow Transplantation
Data Interpretation, Statistical
Humans
Kaplan-Meier Estimate
Logistic Models
Models, Statistical
Proportional Hazards Models
Regression Analysis
Risk
Software