Goodness-of-fit tests for additive mean residual life model under right censoring Journal Article


Authors: Zhang, Z.; Zhao, X.; Sun, L.
Article Title: Goodness-of-fit tests for additive mean residual life model under right censoring
Abstract: 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. © 2010 Springer Science+Business Media, LLC.
Keywords: survival; survival analysis; clinical trial; antineoplastic agents; clinical trials as topic; antineoplastic agent; adenocarcinoma; lung neoplasms; colorectal neoplasms; lung tumor; models, statistical; colorectal tumor; computer simulation; statistical model; life expectancy; sample size; additive mean residual life model; gaussian process; goodness-of-fit test; right-censored survival data
Journal Title: Lifetime Data Analysis
Volume: 16
Issue: 3
ISSN: 1380-7870
Publisher: Springer  
Date Published: 2010-07-01
Start Page: 385
End Page: 408
Language: English
DOI: 10.1007/s10985-010-9152-2
PUBMED: 20101457
PROVIDER: scopus
DOI/URL:
Notes: --- - "Export Date: 20 April 2011" - "Source: Scopus"
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  1. Zhigang Zhang
    428 Zhang