Goodness-of-fit tests for additive-hazards and proportional-hazards models. Technical report
Additive-hazards and proportional-hazards regression models used in the analysis of censored survival data can give substantially different results. For instance, in connection with a study of cancer mortality among Japanese atomic bomb survivors, Muirhead and Darby (1987) have noted that the two models give substantially different estimates of the age-specific probability that an individual will develop radiation-induced cancer. Muirhead and Darby introduced a generalized parametric model which contains parametric additive-hazards and proportional-hazards models as special cases. The goodness-of-fit of each model is then obtained by comparing with the best-fitting model within the generalized family, allowing the two special models to be treated on an equal footing. The purpose of this paper is to develop formal goodness-of-fit tests for the models of Aalen and Cox in which each model is compared on an equal footing with the best-fitting fully nonparametric model.
- Research Organization:
- Florida State Univ., Tallahassee (USA). Dept. of Statistics
- OSTI ID:
- 6276311
- Report Number(s):
- AD-A-202440/4/XAB; FSU-STATISTICS-M-793
- Country of Publication:
- United States
- Language:
- English
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63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.
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BIOLOGICAL EFFECTS
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DISEASES
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PARAMETRIC ANALYSIS
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