Document Detail

Goodness-of-fit tests for additive mean residual life model under right censoring.
MedLine Citation:
PMID:  20101457     Owner:  NLM     Status:  MEDLINE    
The mean residual life (MRL) measures the remaining life expectancy and is useful in actuarial studies, biological experiments and clinical trials. To assess the covariate effect, an additive MRL regression model has been proposed in the literature. In this paper, we focus on the topic of model checking. Specifically, we develop two goodness-of-fit tests to test the additive MRL model assumption. We explore the large sample properties of the test statistics and show that both of them are based on asymptotic Gaussian processes so that resampling approaches can be applied to find the rejection regions. Simulation studies indicate that our methods work reasonably well for sample sizes ranging from 50 to 200. Two empirical data sets are analyzed to illustrate the approaches.
Zhigang Zhang; Xingqiu Zhao; Liuquan Sun
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2010-01-26
Journal Detail:
Title:  Lifetime data analysis     Volume:  16     ISSN:  1572-9249     ISO Abbreviation:  Lifetime Data Anal     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-06-10     Completed Date:  2010-09-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9516348     Medline TA:  Lifetime Data Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  385-408     Citation Subset:  IM    
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
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MeSH Terms
Adenocarcinoma / radiotherapy
Antineoplastic Agents / therapeutic use
Clinical Trials as Topic*
Colorectal Neoplasms / radiotherapy
Computer Simulation
Life Expectancy*
Lung Neoplasms / drug therapy
Models, Statistical*
Sample Size
Survival Analysis
Grant Support
Reg. No./Substance:
0/Antineoplastic Agents

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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