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.
| Original language | English |
|---|---|
| Pages (from-to) | 53-60 |
| Journal | Australian Journal of Statistics |
| Volume | 38 |
| Issue number | 1 |
| Publication status | Published - Apr 1996 |
Research Keywords
- Longitudinal model
- ML
- Multivariate failure time
- REML
- Time dependent frailty
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