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Biometrika Advance Access originally published online on September 17, 2008
Biometrika 2008 95(4):997-1001; doi:10.1093/biomet/asn037
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© 2008 Biometrika Trust

Miscellanea

On consistency of Kendall's tau under censoring

David Oakes

Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York 14642, U.S.A., oakes{at}bst.rochester.edu

Received for publication 1 September 2006. Revision received 1 March 2008.
  Abstract

Necessary and sufficient conditions for consistency of a simple estimator of Kendall's tau under bivariate censoring are presented. The results are extended to data subject to bivariate left truncation as well as right censoring.

Key Words: Bivariate survival • Clayton's model • Cross-ratio function • Frailty • Left truncation


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