Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/12508
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dc.contributor.advisorVAN SANDEN, Suzy-
dc.contributor.advisorGOVARTS, Eva-
dc.contributor.advisorSCHOETERS, Greet-
dc.contributor.authorWorku, H/michael Metiku-
dc.date.accessioned2011-11-25T09:04:00Z-
dc.date.available2011-11-25T09:04:00Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/1942/12508-
dc.description.abstractThe incidence of childhood obesity has reached 'epidemic' proportions globally and there is an urgent need to increase our understanding of the impact of food contaminants on obesity development. In this study, we examine the hypothesis that prenatal exposure to endocrine disrupting compounds (EDCs) in food plays a role in the development of obesity later in life.-
dc.languageen-
dc.language.isoen-
dc.publishertUL Diepenbeek-
dc.titleJoint Modeling of Clustered Data: Prenatal Exposure to Endocrine Disrupting Compounds and their Impact on Newborns in Flanders, Belgium-
dc.typeTheses and Dissertations-
local.format.pages48-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Statistics-Biostatistics-
local.type.specifiedMaster thesis-
dc.bibliographicCitation.oldjcatD2-
item.accessRightsClosed Access-
item.contributorWorku, H/michael Metiku-
item.fulltextNo Fulltext-
item.fullcitationWorku, H/michael Metiku (2010) Joint Modeling of Clustered Data: Prenatal Exposure to Endocrine Disrupting Compounds and their Impact on Newborns in Flanders, Belgium.-
Appears in Collections:Master theses
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