Survival analysis with time dependent frailty using a longitudinal model

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)53-60
Journal / PublicationAustralian Journal of Statistics
Volume38
Issue number1
Publication statusPublished - Apr 1996

Abstract

A method of estimation for generalised mixed models is applied to the estimation of regression parameters in a proportional hazards model with time dependent frailty. A parameter representing change over time is introduced and is modelled in turn into a fixed effect, a normally distributed random effect and a longitudinal effect in which the random component relates to the patient characteristics. Both maximum likelihood and residual maximum likelihood estimators are given.

Research Area(s)

  • Longitudinal model, ML, Multivariate failure time, REML, Time dependent frailty

Citation Format(s)

Survival analysis with time dependent frailty using a longitudinal model. / McGilchrist, C. A.; Yau, K. K W.

In: Australian Journal of Statistics, Vol. 38, No. 1, 04.1996, p. 53-60.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal