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Advanced techniques for modelling maternal and child health in Africa
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2014 (English)Collection (editor) (Refereed)
Place, publisher, year, edition, pages
Dordrecht: Springer, 2014. , 346 p.
Series
The Springer series on demographic methods and population analysis, ISSN 1389-6784 ; 34
Keyword [en]
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
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Research subject
Statistics; Demography; hälso- och sjukvårdsforskning
Identifiers
URN: urn:nbn:se:su:diva-90309ISBN: 978-94-007-6777-5 (print)OAI: oai:DiVA.org:su-90309DiVA: diva2:624570
Available from: 2013-06-01 Created: 2013-06-01 Last updated: 2015-03-10Bibliographically approved

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