具有（p>2）维时不变协变量的相加风险模型的拟合优度检验。
Goodness-of-fit tests for the additive risk model with (p > 2)-dimensional time-invariant covariates.
作者信息
Kim J, Song M S, Lee S
机构信息
Department of Applied Statistics, University of Suwon, Kyonggido, South Korea.
出版信息
Lifetime Data Anal. 1998;4(4):405-15. doi: 10.1023/a:1009638204063.
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.
本文提出了用于检验具有p(> 2)维时不变协变量的加法风险模型拟合优度的方法。这些程序是Kim和Lee(1996)方法的扩展，他们开发了一种检验方法来评估两样本删失数据的加法风险假设。我们将所提出的检验应用于来自南威尔士镍精炼厂工人的生存数据。进行了模拟研究以考察所提出的检验在实际样本量下的性能。
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