title: Goodness-of-fit tests for the additive risk model with (p > 2)-dimensional time-invariant covariates.
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.
authors.affiliation: Department of Applied Statistics, University of Suwon, Kyonggido, South Korea.
authors.forename: J
authors.initials: J
authors.lastname: Kim
authors.forename: M S
authors.initials: MS
authors.lastname: Song
authors.forename: S
authors.initials: S
authors.lastname: Lee
mesh_terms: D001699:Biometry / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D009532:Nickel; D009784:Occupational Diseases / Q000139:chemically induced / Q000453:epidemiology / Q000401:mortality; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D018570:Risk Assessment; D012494:Sampling Studies; D015996:Survival Rate; D014852:Wales / Q000453:epidemiology
chemical_list: D009532:Nickel