Chapter

Parametric Models for Hazard Functions

Theodore R. Holford

in Multivariate Methods in Epidemiology

Published in print July 2002 | ISBN: 9780195124408
Published online September 2009 | e-ISBN: 9780199864270 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195124408.003.0008

Series: Monographs in Epidemiology and Biostatistics

Parametric Models for Hazard Functions

Show Summary Details

Preview

This chapter considers several approaches to using regression models when a mathematical expression that describes the way in which the hazard varies with time is known. The simplest of these is the constant hazard model, which does not vary with time. Applications of the Poisson regression model are described. The Weibull distribution is also considered, which provides very useful generalizations to the constant hazard assumption. Exercises are provided at the end of the chapter.

Keywords: regression; constant hazard model; weibull hazard model; failure-time models; poisson distribution; poisson regression model

Chapter.  7723 words.  Illustrated.

Subjects: Public Health and Epidemiology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.