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

Zhigang Zhang, Xingqiu Zhao, Liuquan Sun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Pages (from-to)385-408
Number of pages24
JournalLifetime Data Analysis
Volume16
Issue number3
DOIs
Publication statusPublished - 1 Jul 2010

Keywords

  • Additive mean residual life model
  • Gaussian process
  • Goodness-of-fit test
  • Right-censored survival data

ASJC Scopus subject areas

  • Applied Mathematics
  • Medicine(all)

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