Association between survival time and ordinal covariates

C. T. Le, P. M. Grambsch, Thomas Louis

Research output: Contribution to journalArticle

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 Jonekheere'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.

Original languageEnglish (US)
Pages (from-to)213-219
Number of pages7
JournalBiometrics
Volume50
Issue number1
StatePublished - 1994
Externally publishedYes

Fingerprint

Survival Time
Covariates
Statistics
Ordered Alternatives
Spearman's coefficient
Score Statistic
Proportional Hazards
Nominal or categorical data
Concordance
Test Statistic
Hazards
Count
statistics
testing
Testing
application methods
data analysis
Generalization
Framework
Independence

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Immunology and Microbiology(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Cite this

Le, C. T., Grambsch, P. M., & Louis, T. (1994). Association between survival time and ordinal covariates. Biometrics, 50(1), 213-219.

Association between survival time and ordinal covariates. / Le, C. T.; Grambsch, P. M.; Louis, Thomas.

In: Biometrics, Vol. 50, No. 1, 1994, p. 213-219.

Research output: Contribution to journalArticle

Le, CT, Grambsch, PM & Louis, T 1994, 'Association between survival time and ordinal covariates', Biometrics, vol. 50, no. 1, pp. 213-219.
Le, C. T. ; Grambsch, P. M. ; Louis, Thomas. / Association between survival time and ordinal covariates. In: Biometrics. 1994 ; Vol. 50, No. 1. pp. 213-219.
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