dc.contributor.author | Engebretsen, Solveig | |
dc.contributor.author | Rø, Gunnar Øyvind Isaksson | |
dc.contributor.author | De Blasio, Birgitte Freiesleben | |
dc.date.accessioned | 2022-08-22T06:56:03Z | |
dc.date.available | 2022-08-22T06:56:03Z | |
dc.date.created | 2022-08-17T12:30:45Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | BMC Medical Research Methodology. 2022, 22 . | |
dc.identifier.issn | 1471-2288 | |
dc.identifier.uri | https://hdl.handle.net/11250/3012795 | |
dc.language.iso | eng | |
dc.title | 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.title.alternative | 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.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 13 | |
dc.source.volume | 22 | |
dc.source.journal | BMC Medical Research Methodology | |
dc.identifier.doi | 10.1186/s12874-022-01565-1 | |
dc.identifier.cristin | 2043792 | |
dc.relation.project | Norges forskningsråd: 312721 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |