Document Detail

Analysing child mortality in Nigeria with geoadditive discrete-time survival models.
MedLine Citation:
PMID:  15696506     Owner:  NLM     Status:  MEDLINE    
Child mortality reflects a country's level of socio-economic development and quality of life. In developing countries, mortality rates are not only influenced by socio-economic, demographic and health variables but they also vary considerably across regions and districts. In this paper, we analysed child mortality in Nigeria with flexible geoadditive discrete-time survival models. This class of models allows us to measure small-area district-specific spatial effects simultaneously with possibly non-linear or time-varying effects of other factors. Inference is fully Bayesian and uses computationally efficient Markov chain Monte Carlo (MCMC) simulation techniques. The application is based on the 1999 Nigeria Demographic and Health Survey. Our method assesses effects at a high level of temporal and spatial resolution not available with traditional parametric models, and the results provide some evidence on how to reduce child mortality by improving socio-economic and public health conditions.
Samson B Adebayo; Ludwig Fahrmeir
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  24     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2005 Mar 
Date Detail:
Created Date:  2005-02-16     Completed Date:  2005-05-17     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  709-28     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2004 John Wiley & Sons, Ltd.
Department of Statistics, University of Munich, Ludwigstr. 33, D-80539 Munich, Germany.
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MeSH Terms
Bayes Theorem
Child Mortality*
Child, Preschool
Markov Chains
Middle Aged
Monte Carlo Method
Rural Population
Small-Area Analysis
Socioeconomic Factors
Statistics as Topic / methods*
Survival Analysis*
Urban Population

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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