Analyses of associations with censored data by generalized Mantel and Breslow tests and generalized Kendall correlation coefficients

Analyses of associations with censored data by generalized Mantel and Breslow tests and... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrical Journal Wiley

Analyses of associations with censored data by generalized Mantel and Breslow tests and generalized Kendall correlation coefficients

Biometrical Journal, Volume 26 (3) – Jan 1, 1984

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Publisher
Wiley
Copyright
Copyright © 1984 WILEY‐VCH Verlag GmbH & Co. KGaA
ISSN
0323-3847
eISSN
1521-4036
D.O.I.
10.1002/bimj.4710260317
Publisher site
See Article on Publisher Site

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.

Journal

Biometrical JournalWiley

Published: Jan 1, 1984

References

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