Lifetime Data Analysis

, Volume 3, Issue 4, pp 367–381 | Cite as

Extended Hazard Regression Model for Reliability and Survival Analysis

  • Francisco Louzada-Neto


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.

Hazard regression models Maximum likelihood estimation Nonconstant spread parameter Simulation Weibull distribution 


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Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Francisco Louzada-Neto
    • 1
  1. 1.Department of StatisticsUniversity of OxfordOxfordUK

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