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A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study

dc.contributor.authorEngebretsen, Solveig
dc.contributor.authorRø, Gunnar Øyvind Isaksson
dc.contributor.authorDe Blasio, Birgitte Freiesleben
dc.date.accessioned2022-10-12T09:06:46Z
dc.date.available2022-10-12T09:06:46Z
dc.date.created2022-08-17T12:30:45Z
dc.date.issued2022
dc.identifier.citationBMC Medical Research Methodology. 2022, 22 .en_US
dc.identifier.issn1471-2288
dc.identifier.urihttps://hdl.handle.net/11250/3025526
dc.language.isoengen_US
dc.titleA compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation studyen_US
dc.title.alternativeA compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation studyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersion
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1186/s12874-022-01565-1
dc.identifier.cristin2043792
dc.source.journalBMC Medical Research Methodologyen_US
dc.source.volume22en_US
dc.source.pagenumber13en_US
dc.relation.projectNorges forskningsråd: 312721


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