Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17527
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dc.contributor.advisorBRUCKERS, Liesbeth-
dc.contributor.authorMwandigha, Lazaro-
dc.date.accessioned2014-10-09T09:14:09Z-
dc.date.available2014-10-09T09:14:09Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/1942/17527-
dc.description.abstractThe project was about assessing the mediating effect of different exposures or the indirect effect of selected covariate(s) on the outcome of interest, data from a study conducted by VITO in the years 2008-2011 in Flanders, Belgium was analysed. The data was collected from 8 regions in Flanders with different enviromental characteristics. The participants were recruited by a stratified clustered multi-stage design and belonged to 3 different age groups namely newborns and their mothers, 14-15 year adolescents and 50-65 years adults. In the study, exposures to various pollutants such as cadmium, lead, thallium, benzene among others were of interest. For this project, a subset of the data collected from adolescents aged between 14-15 years was analysed. Potentially useful covariates were pre-selected and the exposures considered were thallium, cadmium and hydroxy pyrene.-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.language.isoen-
dc.publishertUL-
dc.titleHuman biomonitoring: structural equation models-
dc.typeTheses and Dissertations-
local.format.pages0-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Statistics-Biostatistics-
local.type.specifiedMaster thesis-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorMwandigha, Lazaro-
item.fullcitationMwandigha, Lazaro (2014) Human biomonitoring: structural equation models.-
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