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Logrank-type tests for comparing survival curves with interval-censored data

Authors
 Jinheum Kim  ;  Dae Ryong Kang  ;  Chung Mo Nam 
Citation
 COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol.50(11) : 3165-3178, 2006 
Journal Title
COMPUTATIONAL STATISTICS & DATA ANALYSIS
ISSN
 0167-9473 
Issue Date
2006
Keywords
EM algorithm ; Lung cancer post-operative study ; Multiple imputation ; Score test
Abstract
We propose logrank-type tests for comparing several survival functions from interval-censored data. The proposed tests do not require use of the so-called EM algorithm because we introduce uniform weights that depend only on the size of the risk set at each observed time instead of the weights involving estimated survivals. This technique reduces computation time. As alternatives for the estimated asymptotic variance of a proposed test statistic, we introduce estimates that mimic the logrank test and the multiple imputation method. Results from simulation studies show that our proposed tests are very satisfactory in terms of size and powers. We illustrate the proposed tests with breast cosmesis data from Finkelstein and Wolfe [1985. Biometrics 41, 933–945] and lung cancer post-operative data from the Yonsei Cancer Center in Korea.
Full Text
http://www.sciencedirect.com/science/article/pii/S0167947305001441
DOI
10.1016/j.csda.2005.06.014
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
Yonsei Authors
Nam, Chung Mo(남정모) ORCID logo https://orcid.org/0000-0003-0985-0928
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/108935
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