Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29622
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dc.contributor.advisorAerts, Marc-
dc.contributor.advisorBois, Frédéric-
dc.contributor.authorWIECEK, Witold-
dc.date.accessioned2019-10-01T10:39:27Z-
dc.date.available2019-10-01T10:39:27Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/1942/29622-
dc.description.sponsorshipThis study was supported by AstraZeneca. The funder provided support in the form of salaries for authors BB, RB, JH, RL, YZ, and SR (during the time of the study when SR was employed by AstraZeneca) and funding to Laser Analytica to conduct the study. Members of AstraZeneca were permitted to review the manuscript and offer comments, but the authors decided whether or not to address these comments. AstraZeneca did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section Acknowledgements Modelling expertise and guidance was provided by Richard Pitman. Clinical guidance and expertise was provided by Douglas Fleming.-
dc.language.isoen-
dc.titleInnovative methodology for Bayesian hierarchical modelling, with applications in biology and toxicology-
dc.typeTheses and Dissertations-
local.format.pages130-
local.bibliographicCitation.jcatT1-
local.type.refereedRefereed-
local.type.specifiedPhd thesis-
item.contributorWIECEK, Witold-
item.accessRightsRestricted Access-
item.fullcitationWIECEK, Witold (2019) Innovative methodology for Bayesian hierarchical modelling, with applications in biology and toxicology.-
item.fulltextWith Fulltext-
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