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dc.contributor.authorStoner, OR
dc.contributor.authorShaddick, G
dc.contributor.authorEconomou, T
dc.contributor.authorGumy, S
dc.contributor.authorLewis, J
dc.contributor.authorLucio, I
dc.contributor.authorRuggeri, G
dc.contributor.authorAdair-Rohani, H
dc.date.accessioned2019-07-31T09:36:14Z
dc.date.issued2019-07-07
dc.description.abstractExposure to household air pollution has been attributed to an estimated 3.8 million deaths per year. A major contributor to this exposure is the reliance on various polluting fuels for cooking by almost half of all households in low and middle-income countries. We present a multivariate hierarchical model for surveys of the proportion of people relying on each fuel type, for the period 1990-2017, addressing several challenges with modelling the data including incomplete surveys and sampling bias.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipWorld Health Organizationen_GB
dc.identifier.citationIWSM 2019: 34th International Workshop on Statistical Modelling, 7-12 July 2019, Guimarães, Portugal, Vol. 2, pp. 242 - 247en_GB
dc.identifier.grantnumber201790695en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38170
dc.language.isoenen_GB
dc.publisherStatistical Modelling Societyen_GB
dc.relation.urlhttp://www.statmod.org/workshops_archive.htmen_GB
dc.rights.embargoreasonUnder temporary embargo pending publisher permissionen_GB
dc.rights© 2019 The author(s)en_GB
dc.subjectMultivariate proportion dataen_GB
dc.subjectBayesian methodsen_GB
dc.subjectSampling biasen_GB
dc.titleMultivariate Hierarchical Modelling of Household Air Pollutionen_GB
dc.typeConference paperen_GB
dc.date.available2019-07-31T09:36:14Z
exeter.place-of-publicationhttp://www.statmod.org/workshops_archive.htmen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from the Statistical Modelling Society via the link in this recorden_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-03-25
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.funderNatural Environment Research Councilen_GB
rioxxterms.identifier.projectNE/L002434/1en_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-07-07
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2019-07-30T16:03:07Z
refterms.versionFCDAM
refterms.panelBen_GB
rioxxterms.funder.projectd6f17585-c97b-44a2-99eb-c6cb875eed5aen_GB


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