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Titlebook: Advanced Techniques for Modelling Maternal and Child Health in Africa; Ngianga-Bakwin Kandala,Gebrenegus Ghilagaber Book 2014 Springer Sci

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期刊全称Advanced Techniques for Modelling Maternal and Child Health in Africa
影响因子2023Ngianga-Bakwin Kandala,Gebrenegus Ghilagaber
视频videohttp://file.papertrans.cn/147/146275/146275.mp4
发行地址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 poli
学科分类The Springer Series on Demographic Methods and Population Analysis
图书封面Titlebook: Advanced Techniques for Modelling Maternal and Child Health in Africa;  Ngianga-Bakwin Kandala,Gebrenegus Ghilagaber Book 2014 Springer Sci
影响因子.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
Pindex Book 2014
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https://doi.org/10.1007/978-3-642-66212-6low vaccination coverage in Nigeria, this Chapter aims at providing policymakers with tools to design effective interventions which can lead to frugal utilization of the scarce resources, which is a major challenge in many developing countries, including Nigeria. Findings from this work revealed sub
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https://doi.org/10.1007/978-3-642-70339-3 a selected sample of children in Uganda in 2006 after accounting for some proximate determinants and use multilevel logistic regression models to account and quantify variability due to individual (child), household and community (cluster) levels..Methods: this is a retrospective cross-sectional st
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G. Bergmann,R. Kölbel,A. Rohlmannnd to be associated with gender, current age, level of education and rural-urban location of respondents as well as with sexually transmitted infections. Findings also revealed substantial geographical variations on age at sexual initiation. Model that controlled for unobserved heterogeneity due to
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Disentangling Selection and Causality in Assessing the Effects of Health Inputs on Child Survival: Etillet das Ungewitter, daß die Wellen sich legen, dann werden sie froh nach ihrem Wunsch. Die sollen dem Herren dancken umb seine Güte, und umb seine Wunder, die Er an den Menschen-Kindern thut, und Ihn bey der Gemeine preisen und bey den Alten rühmen“.
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