Mixtures of proportional hazards regression models

Ori Rosen, Martin Tanner*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This paper presents a mixture model which combines features of the usual Cox proportional hazards model with those of a class of models, known as mixtures-of-experts. The resulting model is more flexible than the usual Cox model in the sense that the log hazard ratio is allowed to vary non-linearly as a function of the covariates. Thus it provides a flexible approach to both modelling survival data and model checking. The method is illustrated with simulated data, as well as with multiple myeloma data.

Original languageEnglish (US)
Pages (from-to)1119-1131
Number of pages13
JournalStatistics in Medicine
Volume18
Issue number9
DOIs
StatePublished - May 15 1999

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Fingerprint Dive into the research topics of 'Mixtures of proportional hazards regression models'. Together they form a unique fingerprint.

Cite this