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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/114655

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Title
Empirical receiver operating characteristic curve for two-sample comparison with cure fractions
Related
Lifetime data analysis, Vol. 16, No. 3 (2010), p.316-332
DOI
10.1007/s10985-010-9159-8
Publisher
Springer
Date
2010
FoR/RFCD Code(s)
010400 Statistics
Author/Creator
Zhao, Xiaobing
Author/Creator
Zhou, Xian
Description
Two-sample comparison of survival times with “cured patients” is of major interest and a challenging issue in many areas, particularly in cancer clinical research. Recently, several authors have proposed various procedures of comparison, including tests of no overall, no short-term and no long-term differences between two samples. In clinical practice, it is often of interest to detect the difference in treatment effects among noncured patients regardless of the difference between cure fractions. In this paper, we propose a statistical test to compare two samples with cured patients and possibly heterogeneous treatment effects based on a class of semi-parametric transformation models, and our main focus is on the survival times of noncured patients. The empirical and quantile processes are used to construct strong approximations for the empirical curves. The two-sample test is then constructed from general least squares estimators derived from these processes. Simulation results show that the proposed test perform well. As an example of application, a set of bladder cancer data is analyzed to illustrate the proposed methods.
Description
17 page(s)
Subject Keyword
010400 Statistics
Subject Keyword
two-sample comparison
Subject Keyword
ROC curve
Subject Keyword
cure fraction
Subject Keyword
clinical research
Subject Keyword
empirical process
Subject Keyword
quantile process
Subject Keyword
strong approximation
Resource Type
journal article
Organisation
Macquarie University. Dept. of Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/114655
Identifier
ISSN:1572-9249
Identifier
mq-rm-2010003910
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Lifetime data analysis"
 
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