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

Link(s)

Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0002347390&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(a9715e5c-1f67-43ab-9d24-ae72390da899).html

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

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Publication fingerprints text

100
Frailty Mathematics
61
Residual maximum li... Mathematics
47
Proportional hazard... Mathematics
46
Fixed effects Mathematics
45
Survival analysis Mathematics
43
Mixed model Mathematics
40
Random effects Mathematics
37
Maximum likelihood ... Mathematics
35
Maximum likelihood Mathematics
30
Regression Mathematics
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Citation Format(s)

[ RIS ] [ BibTeX ]

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