Tests of proportional hazards and proportional odds models for grouped survival data
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Undergraduate course
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Publisher
International Biometric Soc
Type
Article
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Abstract
In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests.
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Keywords
Aranda-Ordaz family, interval censoring, maximum likelihood estimate, regression discrete models, score test
Language
English
Citation
Biometrics. Washington: International Biometric Soc, v. 56, n. 4, p. 1233-1240, 2000.
