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Comparative Study
. 1994 Jul 30;29(5):1183-6.
doi: 10.1016/0360-3016(94)90416-2.

Analysis of the probability and risk of cause-specific failure

R J Caplan  1 , T F Pajak, J D Cox
Affiliations
Comparative Study

Analysis of the probability and risk of cause-specific failure

R J Caplan et al. Int J Radiat Oncol Biol Phys. .

Abstract

Purpose: Kaplan-Meier curves are frequently misused in the analysis of nonsurvival endpoints, such as time to local failure or time to late complications. More appropriate analyses are available and described.

Methods and materials: Cumulative incidence is an unbiased estimate of probability of cause-specific failure. Cumulative conditional probability of cause-specific failure reflects risk to patients remaining at risk. Hazard rates also measure risk.

Results: Kaplan-Meier curves overestimate the probability of late complications when there is a high mortality rate. Cumulative incidence and cumulative conditional probability accurately give the probability and risk of cause-specific failure.

Conclusion: Kaplan-Meier analysis of cause-specific failure should be avoided because of its misinterpretation as an estimate of probability, in favor of appropriate methods.

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