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Goodness-of-Fit Tests for the Additive Risk Model with (p > 2)-Dimensional Time-Invariant Covariates

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Abstract

This paper presents methods for checking the goodness-of-fit of the additive risk model with p(> 2)-dimensional time-invariant covariates. The procedures are an extension of Kim and Lee (1996) who developed a test to assess the additive risk assumption for two-sample censored data. We apply the proposed tests to survival data from South Wales nikel refinery workers. Simulation studies are carried out to investigate the performance of the proposed tests for practical sample sizes.

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Authors and Affiliations

  1. Department of Applied Statistics, University of Suwon, Kyonggido, 445-743, South Korea

    Jinheum Kim, Moon Sup Song & Seungyeoun Lee

Authors
  1. Jinheum Kim
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  2. Moon Sup Song
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  3. Seungyeoun Lee
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Kim, J., Song, M.S. & Lee, S. Goodness-of-Fit Tests for the Additive Risk Model with (p > 2)-Dimensional Time-Invariant Covariates. Lifetime Data Anal 4, 405–416 (1998). https://doi.org/10.1023/A:1009638204063

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  • DOI: https://doi.org/10.1023/A:1009638204063

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