Tests of proportional hazards and proportional odds models for grouped survival data.
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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Departamento de Estatística, ICEx/UFMG, Caixa Postal 702, 30161-970, Belo Horizonte-MG, Brazil. enricoc@est.ufmg.br
Chalita
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Demétrio
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D001699:Biometry / Q000379:methods; D001938:Brazil; D005638:Fruit; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D010935:Plant Diseases / Q000382:microbiology; D016016:Proportional Hazards Models; D012044:Regression Analysis; D018401:Sample Size; D012988:Soil Microbiology; D014197:Trees