title: Tests of proportional hazards and proportional odds models for grouped survival data.
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.
authors: Departamento de Estatística, ICEx/UFMG, Caixa Postal 702, 30161-970, Belo Horizonte-MG, Brazil. enricoc@est.ufmg.br
authors: E A
authors: EA
authors: Colosimo
authors: L V
authors: LV
authors: Chalita
authors: C G
authors: CG
authors: Demétrio
mesh_terms: 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