We consider bivariate survival times for heterogeneous populations, where heterogeneity induces deviations in an individual's risk of an event as well as associations between survival times. The heterogeneity is characterized by a bivariate frailty model. We measure the heterogeneity effects through
β¦ LIBER β¦
Assessing gamma frailty models for clustered failure time data
β Scribed by Joanna H. Shih; Thomas A. Louis
- Publisher
- Springer
- Year
- 1995
- Tongue
- English
- Weight
- 764 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1380-7870
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The paper deals with discrete-time regression models to analyze multistate-multiepisode failure time data. The covariate process may include fixed and external as well aa internal time dependent covarjates. The effects of the covariates may differ among different kinds of failures and among successi