Advanced techniques for modelling maternal and child health in Africa [electronic resource] / Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber, editors.
Kandala, Ngianga-Bakwin, editor of compilation.; Ghilagaber, Gebrenegus, editor of compilation.
2013
RJ103.A35
Available Online

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Title Advanced techniques for modelling maternal and child health in Africa [electronic resource] / Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber, editors.
ISBN 9789400767782 electronic book
9400767781 electronic book
9789400767775
DOI https://doi.org/10.1007/978-94-007-6778-2
Published Dordrecht : Springer, [2013?]
Copyright ©2014
Language English
Description 1 online resource (XIV, 330 pages) : illustrations (some in color).
Item Number 10.1007/978-94-007-6778-2 doi
Call Number RJ103.A35
Dewey Decimal Classification 649.4
Summary 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. 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. 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed September 9, 2013).
Added Author Kandala, Ngianga-Bakwin, editor of compilation.
Ghilagaber, Gebrenegus, editor of compilation.
Series Springer series on demographic methods and population analysis, 1389-6784
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1: Advanced Techniques for Modelling Maternal and Child Health in Africa: Samuel OM Manda, Ngianga-Bakwin Kandala and Gebrenegus Ghilagaber
PART I: CHILD HEALTH AND SURVIVAL: 2: Disentangling Selection and Causality in Assessing the Effects of Health Inputs on Child Survival. Case Studies from Egypt, Eritrea, and Uganda: Gebrenegus Ghilagaber
3: Modelling Spatial Effects on Childhood Mortality via Geo-Additive Bayesian Discrete-time Survival Model: A Case Study from Nigeria: G Ghilagaber, D Antai and N-B Kandala
4: Bayesian Geo-additive Mixed Latent Variable Models with Applications on the Child's Health problems in some African Countries: K Khatab
5: Mapping socio-economic inequalities in health status in Malawian children: a Bayesian approach: L Kazembe
6: Analysis of Grouped Survival Data: A Synthesis of Various Traditions and Application to Modeling Childhood Mortality in Eritrea: G Ghilagaber
7: Modelling Immunisation Coverage in Nigeria using Bayesian Structured Additive Regression: SB Adebayo and WB Yahya
8: Macro Determinants of Geographical Variation in Childhood Survival in South Africa using Flexible Spatial Mixture Models: S Manda
9: Socio-demographic determinants of Anaemia in children in Uganda : A multilevel analysis: SN Kandala
PART II: MATERNAL HEALTH: 10: A Family of Flexible Parametric Duration Functions with Applications to Modelling Transition to Parenthood in Eritrea, Ghana, and Kenya: G Ghilagaber, W Elisa, and S O Gyimah
11: Spatial variation of predictors of prevalent hypertension in Sub-Saharan Africa: A case study of South-Africa: N-B Kandala
12: A Semiparametric Stratified Survival Model for Timing of First Birth in South Africa: S Manda, R Meyer and B Cai
13: Stepwise Geoadditive Regression modelling of levels and trends of fertility in Nigeria: Guiding tools towards attaining MDGs: SB Adebayo and E Gayawan
14: A Spatial Analysis of Age at Sexual Initiation among Nigerian Youth as a Tool for HIV Prevention: A Bayesian Approach: AA Abiodun et al
15: Assessing Geographic Co-morbidity Associated with Vascular Diseases in South Africa: A joint Bayesian Modeling Approach: NB Kandala, SOM Manda, W Tigbe
16: Advances in Modelling Maternal and Child Health in Africa: What Have We Learned and What is Next?: Gebrenegus Ghilagaber.

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