Abstract
A modified frailty model is developed to improve the computing efficiency of the bivariate frailty model proposed by Xue and Brookmeyer (1996, Lifetime Data Analysis 2, 277-290) for the analysis of multivariate survival data. Originally, the frailty was modeled parametrically and a modified EM approach was used to estimate the parameters of interest, however, with intensive computations. The modified frailty model formulates a Poisson regression model and applies quasi-likelihood estimating equations to estimate the parameters of interest. This procedure not only significantly reduces the computation but also avoids using a parametric assumption for the frailty distribution. Simulation studies show the estimators perform well. The method is also applied to a mental health care dataset.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1631-1637 |
| Number of pages | 7 |
| Journal | Biometrics |
| Volume | 54 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1998 |
| Externally published | Yes |
Keywords
- Heterogeneity
- Poisson formulation
- Quasi-likelihood
ASJC Scopus subject areas
- Statistics and Probability
- General Biochemistry, Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics
