title: Extended hazard regression model for reliability and survival analysis.
abstract: We propose an extended hazard regression model which allows the spread parameter to be dependent on covariates. This allows a broad class of models which includes the most common hazard models, such as the proportional hazards model, the accelerated failure time model and a proportional hazards/accelerated failure time hybrid model with constant spread parameter. Simulations based on sub-classes of this model suggest that maximum likelihood performs well even when only small or moderate-size data sets are available and the censoring pattern is heavy. The methodology provides a broad framework for analysis of reliability and survival data. Two numerical examples illustrate the results.
authors.affiliation: Department of Statistics, University of Oxford, UK.
authors.forename: F
authors.initials: F
authors.lastname: Louzada-Neto
mesh_terms: D016018:Least-Squares Analysis; D015993:Life Tables; D016013:Likelihood Functions; D016016:Proportional Hazards Models; D016019:Survival Analysis