Literature DB >> 8086604

Association between survival time and ordinal covariates.

C T Le1, P M Grambsch, T A Louis.   

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.

Mesh:

Year:  1994        PMID: 8086604

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  Tests of trend between disease outcomes and ordinal covariates discretized from underlying continuous variables: simulation studies and applications to NHANES 2007-2008.

Authors:  Naomi C Brownstein; Jianwen Cai
Journal:  BMC Med Res Methodol       Date:  2019-01-05       Impact factor: 4.615

2.  Safety and Activity of Programmed Cell Death 1 Versus Programmed Cell Death Ligand 1 Inhibitors for Platinum-Resistant Urothelial Cancer: A Meta-Analysis of Published Clinical Trials.

Authors:  Zaishang Li; Xueying Li; Wayne Lam; Yabing Cao; Hui Han; Xueqi Zhang; Jiequn Fang; Kefeng Xiao; Fangjian Zhou
Journal:  Front Oncol       Date:  2021-04-01       Impact factor: 6.244

  2 in total

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