Zhang, Wenyang and Steele, Fiona 
ORCID: 0000-0001-6417-7444
(2004)
A semiparametric multilevel survival model.
Journal of the Royal Statistical Society. Series C: Applied Statistics, 53 (2).
ISSN 0035-9254
Abstract
We propose a semiparametric multilevel survival model for clustered duration data in which the effect of a continuous covariate is represented by an unspecified, possibly non-linear, function. This model makes no distributional assumption about the cluster level random effects. The performance of the method is assessed via Monte Carlo simulations. The model is applied in an analysis of first-birth intervals in Bangladesh to examine period effects in the timing of first births, while allowing for clustering within communities; the analysis reveals a non-linear trend in the first-birth interval over time.
| Item Type: | Article |
|---|---|
| Official URL: | http://onlinelibrary.wiley.com/journal/10.1111/%28... |
| Additional Information: | © 2004 Royal Statistical Society |
| Divisions: | Statistics |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HQ The family. Marriage. Woman |
| Date Deposited: | 02 Sep 2013 13:38 |
| Last Modified: | 01 Oct 2024 03:32 |
| URI: | http://eprints.lse.ac.uk/id/eprint/52216 |
Actions (login required)
 |
View Item |
