Summarizing differences in cumulative incidence functions. Stat Med 2008 Oct 30;27(24):4939-49
Date
06/20/2008Pubmed ID
18563792Pubmed Central ID
PMC3310382DOI
10.1002/sim.3339Scopus ID
2-s2.0-56449124148 (requires institutional sign-in at Scopus site) 44 CitationsAbstract
The cumulative incidence function is widely reported in competing risks studies, with group differences assessed by an extension of the log-rank test. However, simple, interpretable summaries of group differences are not available. An adaptation of the proportional hazards model to the cumulative incidence function is often employed, but the interpretation of the hazard ratio may be somewhat awkward, unlike the usual survival set-up. We propose nonparametric inferences for general summary measures, which may be time-varying, and for time-averaged versions of the measures. Theoretical justification is provided using counting process techniques. A real data example illustrates the practical utility of the methods.
Author List
Zhang MJ, Fine JAuthor
Mei-Jie Zhang PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Bone Marrow TransplantationData Interpretation, Statistical
Incidence
Models, Statistical
Proportional Hazards Models
Statistics, Nonparametric
Survival Analysis
Survival Rate
