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001 978-94-007-6778-2
003 DE-He213
005 20140220082528.0
007 cr nn 008mamaa
008 130906s2014 ne | s |||| 0|eng d
020 _a9789400767782
_9978-94-007-6778-2
024 7 _a10.1007/978-94-007-6778-2
_2doi
050 4 _aHB848-3697
072 7 _aJHBD
_2bicssc
072 7 _aSOC006000
_2bisacsh
082 0 4 _a304.6
_223
100 1 _aKandala, Ngianga-Bakwin.
_eeditor.
245 1 0 _aAdvanced Techniques for Modelling Maternal and Child Health in Africa
_h[electronic resource] /
_cedited by Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2014.
300 _aXIV, 330 p. 40 illus., 21 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v34
505 0 _a1: 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.  .
520 _aThis 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.   
650 0 _aSocial sciences.
650 0 _aMaternal and infant welfare.
650 0 _aStatistics.
650 0 _aSocial sciences
_xMethodology.
650 0 _aDemography.
650 1 4 _aSocial Sciences.
650 2 4 _aDemography.
650 2 4 _aMaternal and Child Health.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aMethodology of the Social Sciences.
700 1 _aGhilagaber, Gebrenegus.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400767775
830 0 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v34
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-6778-2
912 _aZDB-2-SHU
999 _c93874
_d93874