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PubMed · 15498410

[Survival analysis with competing risks: estimating failure probability].

Javier Llorca·Miguel Delgado-Rodríguez
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Abstract

OBJECTIVE: To show the impact of competing risks of death on survival analysis. METHOD: We provide an example of survival time without chronic rejection after heart transplantation, where death before rejection acts as a competing risk. Using a computer simulation, we compare the Kaplan-Meier estimator and the multiple decrement model. RESULTS: The Kaplan-Meier method overestimated the probability of rejection. Next, we illustrate the use of the multiple decrement model to analyze secondary end points (in our example: death after rejection). Finally, we discuss Kaplan-Meier assumptions and why they fail in the presence of competing risks. CONCLUSIONS: Survival analysis should be adjusted for competing risks of death to avoid overestimation of the risk of rejection produced with the Kaplan-Meier method.

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Graft RejectionHeart TransplantationHumansKaplan-Meier EstimateRisk AssessmentSurvival RateEnglish AbstractJournal ArticleReview

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BibTeXRIS

Javier Llorca, Miguel Delgado-Rodríguez. [Survival analysis with competing risks: estimating failure probability].. https://doi.org/10.1016/s0213-9111(04)71850-6

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