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Modelling lifetime data: a graphical approach

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  • Francisco Louzada‐Neto

Abstract

In this paper we point out the differences between the most common hazard‐based models, such as the proportional hazards and the accelerated failure time models. We focus on the heteroscestaticity‐across‐individuals problem that cannot be accommodated by them, and give motivation and general ideas about more flexible formulations. We describe hybrid and extended models, which have the former models as particular cases, but keep enough flexibility to fit data with heteroscedasticity. We show that by considering simple graphical procedures it is easy to verify whether there is heteroscedasticity in the data, whether it is possible to describe it through a simple function of the covariates, and whether it is important to take it in account for the final fit. Real datasets are considered. Copyright © 1999 John Wiley & Sons, Ltd.

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  • Francisco Louzada‐Neto, 1999. "Modelling lifetime data: a graphical approach," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 15(2), pages 123-129, April.
    • Handle: RePEc:wly:apsmbi:v:15:y:1999:i:2:p:123-129
    DOI: 10.1002/(SICI)1526-4025(199904/06)15:23.0.CO;2-T
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