Zhang, WY and Steele, F. (2004) A semiparametric multilevel survival model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 53 (Part 2). pp. 387-404. ISSN 0035-9254.
|The full text of this publication is not available from this repository. (Contact us about this Publication)|
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. This paper also proposed a novel way to do ANOVA for curve data.
|Uncontrolled keywords:||clustered data; first-birth interval; multilevel model; semiparametric survival model|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science|
|Depositing User:||Judith Broom|
|Date Deposited:||19 Dec 2007 18:22|
|Last Modified:||14 Jan 2010 13:59|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/602 (The current URI for this page, for reference purposes)|
- Depositors only (login required):