Literature DB >> 7052151

A concordance test for independence in the presence of censoring.

D Oakes.   

Abstract

An extension of the definition of Kendall's coefficient of concordance is proposed for testing independence in bivariate censored survival times. The test statistic counts the number of known concordances minus the number of known discordances. The variance of the statistic is calculated for an random-censorship model which, however, does not require independence of the components of the censoring distribution. Two examples are given.

Mesh：

Year:  1982        PMID： 7052151

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


  14 in total

1.  Inverse probability of censoring weighted estimates of Kendall's τ for gap time analyses.

Authors:  Lajmi Lakhal-Chaieb; Richard J Cook; Xihong Lin
Journal:  Biometrics       Date:  2010-12       Impact factor: 2.571

2.  Tests of independence for censored bivariate failure time data.

Authors:  Wenbin Lu
Journal:  Lifetime Data Anal       Date:  2007-03       Impact factor: 1.588

3.  Estimating correlation with multiply censored data arising from the adjustment of singly censored data.

Authors:  Elizabeth Newton; Ruthann Rudel
Journal:  Environ Sci Technol       Date:  2007-01-01       Impact factor: 9.028

4.  Association analyses of clustered competing risks data via cross hazard ratio.

Authors:  Yu Cheng; Jason P Fine; Karen Bandeen-Roche
Journal:  Biostatistics       Date:  2009-10-13       Impact factor: 5.899

Review 5.  Statistical methods for dependent competing risks.

Authors:  M L Moeschberger; J P Klein
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

6.  A flexible and robust method for assessing conditional association and conditional concordance.

Authors:  Xiangyu Liu; Jing Ning; Yu Cheng; Xuelin Huang; Ruosha Li
Journal:  Stat Med       Date:  2019-05-09       Impact factor: 2.373

7.  A copula model for bivariate hybrid censored survival data with application to the MACS study.

Authors:  Suhong Zhang; Ying Zhang; Kathryn Chaloner; Jack T Stapleton
Journal:  Lifetime Data Anal       Date:  2010-04       Impact factor: 1.588

8.  Hepatic resection for colorectal metastases: value for risk scoring systems?

Authors:  Shaheen Zakaria; John H Donohue; Florencia G Que; Michael B Farnell; Cathy D Schleck; Duane M Ilstrup; David M Nagorney
Journal:  Ann Surg       Date:  2007-08       Impact factor: 12.969

9.  A bivariate survival model with compound Poisson frailty.

Authors:  A Wienke; S Ripatti; J Palmgren; A Yashin
Journal:  Stat Med       Date:  2010-01-30       Impact factor: 2.373

10.  The familial aggregation of cannabis use disorders.

Authors:  Kathleen R Merikangas; Julan Julia Li; Brooke Stipelman; Kelly Yu; Lisa Fucito; Joel Swendsen; Heping Zhang
Journal:  Addiction       Date:  2009-04       Impact factor: 6.526
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