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

Authors: Kim J.¹; Song M.S.²; Lee S.³

Source: Lifetime Data Analysis, Volume 4, Number 4, 1998 , pp. 405-416(12)

Publisher: Springer

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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.

Keywords: additive risk model; counting process; Martingale residual

Language: English

Document Type: Regular paper

Affiliations: 1: Department of Applied Statistics, University of Suwon, Kyonggido, 445-743, South Korea 2: Department of Computer Science and Statistics, Seoul National University, Seoul, 151-742, South Korea 3: Department of Applied Statistics, Sejong University, Seoul, 143-747, South Korea

Publication date: 1998-01-01