Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18607
Title: Goodness-of-fit tests for additive mean residual life model under right censoring
Authors: Zhang, Z
Zhao, X 
Sun, L
Keywords: Additive mean residual life model
Gaussian process
Goodness-of-fit test
Right-censored survival data
Issue Date: 2010
Publisher: Springer
Source: Lifetime data analysis, 2010, v. 16, no. 3, p. 385-408 How to cite?
Journal: Lifetime Data Analysis 
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.
URI: http://hdl.handle.net/10397/18607
DOI: 10.1007/s10985-010-9152-2
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