06502nam a22005535i 4500 978-94-007-6778-2 DE-He213 20210615202013.0 cr nn 008mamaa 130906s2014 ne | s |||| 0|eng d 9789400767782 978-94-007-6778-2 10.1007/978-94-007-6778-2 doi HB848-3697 JHBD bicssc SOC006000 bisacsh JHBD thema 304.6 23 Advanced Techniques for Modelling Maternal and Child Health in Africa [electronic resource] / edited by Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber. 1st ed. 2014. Dordrecht : Springer Netherlands : Imprint: Springer, 2014. XIV, 330 p. 40 illus., 21 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda The Springer Series on Demographic Methods and Population Analysis, 1389-6784 ; 34 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.  . 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.   . Demography. Maternal and child health services. Statistics . Social sciences. Demography. https://scigraph.springernature.com/ontologies/product-market-codes/X25000 Maternal and Child Health. https://scigraph.springernature.com/ontologies/product-market-codes/H27025 Statistics for Life Sciences, Medicine, Health Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17030 Methodology of the Social Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/X17000 Kandala, Ngianga-Bakwin. editor. edt http://id.loc.gov/vocabulary/relators/edt Ghilagaber, Gebrenegus. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9789400767799 Printed edition: 9789400767775 Printed edition: 9789402405231 The Springer Series on Demographic Methods and Population Analysis, 1389-6784 ; 34 https://doi.org/10.1007/978-94-007-6778-2 ZDB-2-SHU ZDB-2-SXS Humanities, Social Sciences and Law (SpringerNature-11648) Social Sciences (R0) (SpringerNature-43726)