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Selection bias due to conditioning on a collider

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dc.contributor.authorHernán, Miguel A
dc.contributor.authorMonge Corella, Susana
dc.date.accessioned2023-06-14T11:52:34Z
dc.date.available2023-06-14T11:52:34Z
dc.date.issued2023-06-07
dc.description.abstractEffect estimates may be biased when the study design or the data analysis is conditional on a collider—a variable that is caused by two other variables. Causal directed acyclic graphs are a helpful tool to identify colliders that may introduce selection bias in observational research.es_ES
dc.description.peerreviewedSíes_ES
dc.format.page1135es_ES
dc.format.volume381es_ES
dc.identifier.citationBMJ. 2023 Jun 7;381:1135.es_ES
dc.identifier.doi10.1136/bmj.p1135es_ES
dc.identifier.e-issn1756-1833es_ES
dc.identifier.journalBMJ (Clinical research ed.)es_ES
dc.identifier.pubmedID37286200es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/16171
dc.language.isoenges_ES
dc.publisherBMJ Publishing Group
dc.relation.publisherversionhttps://doi.org/10.1136/bmj.p1135es_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subject.meshSelection Biases_ES
dc.subject.meshHumanses_ES
dc.subject.meshBiases_ES
dc.titleSelection bias due to conditioning on a collideres_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverya0bb4f4f-11f0-487e-bf93-0b13f90057cc
relation.isPublisherOfPublication7ffe3d60-d8d6-4023-8234-aa60d8420845
relation.isPublisherOfPublication.latestForDiscovery7ffe3d60-d8d6-4023-8234-aa60d8420845

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