Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure-Reference-Cited by-同舟云学术

Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure

Published:2014-05 Issue: Volume:73 Page:16-26
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Austin Matthew D.,Betensky Rebecca A.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference24 articles.

1. Austin, M., Betensky, R., 2012. Estimating a survival distribution in the presence of dependent left truncation and right censoring. Unpublished Manuscript.

2. Improving the estimation of Kendall’s tau when censoring affects only one of the variables;Beaudoin;Comput. Statist. Data Anal.,2007

3. Estimating survival under a dependent truncation;Chaieb;Biometrika,2006

4. Inverse probability of censoring weighted U-statistics for right-censored data with an application to testing hypotheses;Datta;Scand. J. Stat.,2010

5. Nonparametric estimation under length-biased sampling and type I censoring: a moment based approach;De Uña-álvarez;Ann. Inst. Statist. Math.,2004

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