Association between survival time and ordinal covariates.
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.
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Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis 55455.
Grambsch
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Louis
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D000704:Analysis of Variance; D001699:Biometry; D006801:Humans; D016016:Proportional Hazards Models; D013269:Stochastic Processes; D016019:Survival Analysis