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生存时间与有序协变量之间的关联。

Association between survival time and ordinal covariates.

作者信息

Le C T, Grambsch P M, Louis T A

机构信息

Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis 55455.

出版信息

Biometrics. 1994 Mar;50(1):213-9.

PMID:8086604
Abstract

An application of the method of rank correlation is proposed for testing independence between a censored survival time and an ordinal covariate. The test statistic counts the number of concordances minus the number of discordances at each time with event(s) and adds across times; it is expressible as a score statistic within the proportional hazards framework. The proposed test includes, as a special case, a generalization of Jonckheere's test against ordered alternatives and as applied to the analysis of categorical data, it can be seen as a generalization of the Mantel-Haenszel procedure.

摘要

本文提出了一种秩相关方法的应用,用于检验删失生存时间与有序协变量之间的独立性。检验统计量计算每次出现事件时的一致数减去不一致数,并对各时间点求和;在比例风险框架内,它可表示为一个得分统计量。作为一个特例,所提出的检验包括对针对有序备择假设的琼克尔检验的推广,并且应用于分类数据分析时,它可被视为曼特尔-亨泽尔程序的推广。

相似文献

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Association between survival time and ordinal covariates.生存时间与有序协变量之间的关联。
Biometrics. 1994 Mar;50(1):213-9.
2
Nonparametric tests of association between survival time and continuously measured covariates: the logit-rank and associated procedures.生存时间与连续测量协变量之间关联的非参数检验:对数秩及相关方法。
Biometrics. 1991 Mar;47(1):117-27.
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Power calculation for a score test in the dependent censoring model.相依删失模型中得分检验的功效计算。
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A regression survival model for testing the proportional hazards hypothesis.用于检验比例风险假设的回归生存模型。
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Piecewise exponential survival trees with time-dependent covariates.具有时间相依协变量的分段指数生存树
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A simple test for independent censoring under the proportional hazards model.比例风险模型下独立删失的一种简单检验。
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