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特定病因失败的概率与风险分析。

Analysis of the probability and risk of cause-specific failure.

作者信息

Caplan R J, Pajak T F, Cox J D

机构信息

Radiation Therapy Oncology Group Statistical Unit, Philadelphia, PA 19107.

出版信息

Int J Radiat Oncol Biol Phys. 1994 Jul 30;29(5):1183-6. doi: 10.1016/0360-3016(94)90416-2.

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.

摘要

目的

Kaplan-Meier曲线在非生存终点分析中经常被误用,如局部失败时间或晚期并发症发生时间。有更合适的分析方法并已作介绍。

方法与材料

累积发病率是特定原因失败概率的无偏估计。特定原因失败的累积条件概率反映了仍处于风险中的患者的风险。风险率也可衡量风险。

结果

当死亡率较高时,Kaplan-Meier曲线高估了晚期并发症的概率。累积发病率和累积条件概率能准确给出特定原因失败的概率和风险。

结论

应避免对特定原因失败进行Kaplan-Meier分析,因为它被错误地解释为概率估计,而应采用合适的方法。

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