Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10344528 | Computer Methods and Programs in Biomedicine | 2015 | 16 Pages |
Abstract
Deviation from proportional subdistribution hazards can be detected by both inspecting Schoenfeld-type residuals and testing correlation of these residuals with time, or by including interactions of covariates with functions of time. We illustrate application of these extended methods for competing risk regression using our macro, which is freely available at: http://cemsiis.meduniwien.ac.at/en/kb/science-research/software/statistical-software/pshreg, by means of analysis of a real chronic kidney disease study. We discuss differences in features and capabilities of %pshreg and the recent (January 2014) SAS PROC PHREG implementation of proportional subdistribution hazards modelling.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Maria Kohl, Max Plischke, Karen Leffondré, Georg Heinze,