Polyhazard models for lifetime data.
We propose a polyhazard model to deal with lifetime data associated with latent competing risks. The causes of failure are assumed unobserved and affecting individuals independently. The general framework allows a broad class of hazard models that includes the most common hazard-based models. The model accommodates bathtub and multimodal hazards, keeping enough flexibility for common lifetime data that cannot be accommodated by usual hazard-based models. Maximum likelihood estimation is discussed, and parametric simulation is used for hypothesis testing.
Louzada-Neto
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Departamento de Estadística, Universidade Federal de São Carlos, SP, Brazil. dfln@power.ufscar.br
D000818:Animals; D001699:Biometry; D003627:Data Interpretation, Statistical; D006801:Humans; D015993:Life Tables; D016013:Likelihood Functions; D008297:Male; D009369:Neoplasms / Q000401:mortality; D016016:Proportional Hazards Models; D051381:Rats; D012306:Risk; D014051:Toluene 2,4-Diisocyanate / Q000633:toxicity
D014051:Toluene 2,4-Diisocyanate