Overview
- Examines household surveys data from Africa using novel techniques
- State of the art techniques and their application to real world data
- Empirical results and their implications for evidence-based policy interventions
- Includes supplementary material: sn.pub/extras
Part of the book series: The Springer Series on Demographic Methods and Population Analysis (PSDE, volume 34)
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Table of contents (16 chapters)
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Child Health and Survival
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Maternal Health
Keywords
- Baysian structures additive regression
- Child health problems
- Clustering within family and household
- Effetcs of health inputs on child survival
- Flexible spatial mixture models
- Geo-additive Baysian discrete-time survival model
- Interdependencies over life-course events
- Modelling childhood mortality
- Modelling maternal and child health
- Modern and advance statistical techniques
- Non-random utilization of health services
- Prevalent hypertension in Sub-Saharan Africa
- Semiparametric stratified survival model
- Stepwise geoadditive regression model
- Survey data in developing countries
- The Demographic and Health Survey
- Tools for HIV prevention
- Vascular diseases in South Africa
- World Fertility Survey
- maternal and child health
About this book
This book presents both theoretical contributions and empirical applications of advanced statistical techniques including geo-additive models that link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within family and household; multi-process models that account for interdependencies over life-course events and non-random utilization of health services; and flexible parametric alternatives to existing intensity models. These analytical techniques are illustrated mainly through modeling maternal and child health in the African context, using data from demographic and health surveys.
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In the past, the estimation of levels, trends and differentials in demographic and health outcomes in developing countries was heavily reliant on indirect methods that were devised to suit limited or deficient data. In recent decades, world-wide surveys like the World Fertility Survey and its successor, the Demographic and Health Survey have played an important role in filling the gap in survey data from developing countries. Such modern demographic and health surveys enable investigators to make in-depth analyses that guide policy intervention strategies, and such analyses require the modern and advanced statistical techniques covered in this book.
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The text is ideally suited for academics, professionals, and decision makers in the social and health sciences, as well as others with an interest in statistical modelling, demographic and health surveys. Scientists and students in applied statistics, epidemiology, medicine, social and behavioural sciences will find it of value. Â Â
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Techniques for Modelling Maternal and Child Health in Africa
Editors: Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber
Series Title: The Springer Series on Demographic Methods and Population Analysis
DOI: https://doi.org/10.1007/978-94-007-6778-2
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht. 2014
Hardcover ISBN: 978-94-007-6777-5Published: 18 September 2013
Softcover ISBN: 978-94-024-0523-1Published: 27 August 2016
eBook ISBN: 978-94-007-6778-2Published: 06 September 2013
Series ISSN: 1877-2560
Series E-ISSN: 2215-1990
Edition Number: 1
Number of Pages: XIV, 330
Number of Illustrations: 19 b/w illustrations, 21 illustrations in colour
Topics: Demography, Maternal and Child Health, Statistics for Life Sciences, Medicine, Health Sciences, Methodology of the Social Sciences