Rank regression for accelerated failure time model with clustered and censored data

Wang, You-Gan and Fu, Liya (2011) Rank regression for accelerated failure time model with clustered and censored data. Computational Statistics and Data Analysis, 55 7: 2334-2343. doi:10.1016/j.csda.2011.01.023


Author Wang, You-Gan
Fu, Liya
Title Rank regression for accelerated failure time model with clustered and censored data
Journal name Computational Statistics and Data Analysis   Check publisher's open access policy
ISSN 0167-9473
1872-7352
Publication date 2011-07-01
Sub-type Article (original research)
DOI 10.1016/j.csda.2011.01.023
Volume 55
Issue 7
Start page 2334
End page 2343
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2012
Language eng
Abstract For clustered survival data, the traditional Gehan-type estimator is asymptotically equivalent to using only the between-cluster ranks, and the within-cluster ranks are ignored. The contribution of this paper is two fold, (i) incorporating within-cluster ranks in censored data analysis, and (ii) applying the induced smoothing of Brown and Wang (2005, Biometrika) for computational convenience. Asymptotic properties of the resulting estimating functions are given. We also carry out numerical studies to assess the performance of the proposed approach and conclude that the proposed approach can lead to much improved estimators when strong clustering effects exist. A dataset from a littermatched tumorigenesis experiment is used for illustration.
Keyword Clustered data
Covariance matrix
Gehan-type weight function
Induced smoothing
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2012 Collection
 
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