Research

A semiparametric multilevel survival model


Reference:

Zhang, W. Y. and Steele, F., 2004. A semiparametric multilevel survival model. Journal of the Royal Statistical Society Series C-Applied Statistics, 53, pp. 387-404.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.

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.

Details

Item Type Articles
CreatorsZhang, W. Y.and Steele, F.
DepartmentsFaculty of Science > Mathematical Sciences
RefereedYes
StatusPublished
ID Code7193
Additional InformationID number: ISI:000220352700011

Export

Actions (login required)

View Item