Analyses of associations with censored data by generalized Mantel and Breslow tests and generalized Kendall correlation coefficients
- 1 January 1984
- journal article
- research article
- Published by Wiley in Biometrical Journal
- Vol. 26 (3) , 309-318
- https://doi.org/10.1002/bimj.4710260317
Abstract
Two nonparametric procedures are proposed for the problem of testing association between two continous variables, when one is subject to arbitrary censoring. The main advantages of the two tests—generalizations of MANTEL'S (1066) and BRESLOW'S (1970)k‐sample tests for censored data—are: accurate control over the size of the test, no restrictive assumptions concerning censoring mechanisms, theoretical properties similar to those already explored for Mantel's and Breslow's tests, close relationship to descriptive measures of association, namely generalized Kendall correlation coefficients, to which part of the paper is devoted. Finally stratified analyses are discussed and calculated examples presented.Keywords
This publication has 8 references indexed in Scilit:
- A Nonparametric Test for Association with Censored DataPublished by JSTOR ,1978
- On distribution-free tests for equality of survival distributionsBiometrika, 1977
- Least squares regression with censored dataBiometrika, 1976
- Tests for trend in life table analysisBiometrika, 1975
- Asymptotically Efficient Rank Invariant Test ProceduresJournal of the Royal Statistical Society. Series A (General), 1972
- Regression Models and Life-TablesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1972
- A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorshipBiometrika, 1970