Using WinBUGS to Study Family Frailty in Child Mortality, with an Application to Child Survival in Ivory Coast

Marie-Claire Koissi, Göran Högnäs


This article analyzes the effects of unobserved family heterogeneity in children survival times through a Bayesian approach. We rely on survey data from Ivory Coast and use a proportional hazard model with multiplicative random effect. With such a model, the usual assumption of independence of observations is avoided. The posterior distributions of the parameters are estimated through a Gibbs sampler algorithm using the WinBUGS software. This technique overcomes the possible local convergence problem observed with the commonly used Expectation-Maximization method.

Full Text:




  • There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

ISSN 2308-7854 (online); ISSN 0850-5780 (print)

Powered by OJS and hosted by Stellenbosch University Library and Information Service since 2013.


This journal is hosted by the SU LIS on request of the journal owner/editor. The SU LIS takes no responsibility for the content published within this journal, and disclaim all liability arising out of the use of or inability to use the information contained herein. We assume no responsibility, and shall not be liable for any breaches of agreement with other publishers/hosts.

SUNJournals Help