The analysis of competing events like cause-specific mortality--beware of the Kaplan-Meier method.
Kaplan-Meier analysis is a popular method used for analysing time-to-event data. In case of competing event analyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan-Meier method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan-Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan-Meier method, application of this method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands. m.verduijn@lumc.nl
Marion
M
Verduijn
Diana C
DC
Grootendorst
Friedo W
FW
Dekker
Kitty J
KJ
Jager
Saskia
S
le Cessie
D002318:Cardiovascular Diseases / Q000401:mortality*; D002423:Cause of Death; D002986:Clinical Trials as Topic; D006801:Humans; D053208:Kaplan-Meier Estimate; D015996:Survival Rate