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使用统计模型预测个体生存时间。

Individual survival time prediction using statistical models.

作者信息

Henderson R, Keiding N

机构信息

Department of Biostatistics, University of Copenhagen, Øster Farimagsgade 5, entr. B, PO Box 2099, DK-1014, Copenhagen, Denmark.

出版信息

J Med Ethics. 2005 Dec;31(12):703-6. doi: 10.1136/jme.2005.012427.

Abstract

Doctors' survival predictions for terminally ill patients have been shown to be inaccurate and there has been an argument for less guesswork and more use of carefully constructed statistical indices. As statisticians, the authors are less confident in the predictive value of statistical models and indices for individual survival times. This paper discusses and illustrates a variety of measures which can be used to summarise predictive information available from a statistical model. The authors argue that models and statistical indices can be useful at the group or population level, but that human survival is so uncertain that even the best statistical analysis cannot provide single-number predictions of real use for individual patients.

摘要

医生对绝症患者生存情况的预测已被证明是不准确的,因此有人主张减少猜测,更多地使用精心构建的统计指标。作为统计学家,作者对统计模型和指标对个体生存时间的预测价值不太有信心。本文讨论并举例说明了多种可用于总结统计模型中可用预测信息的方法。作者认为,模型和统计指标在群体或总体层面可能有用,但人类生存情况如此不确定,以至于即使是最好的统计分析也无法为个体患者提供实际可用的单一数字预测。

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