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dc.contributor.authorHarrison, Conrad J
dc.contributor.authorHossain, Anower
dc.contributor.authorBruce, Julie
dc.contributor.authorRodrigues, Jeremy N
dc.date.accessioned2023-10-17T08:28:59Z
dc.date.available2023-10-17T08:28:59Z
dc.date.issued2023-09-27
dc.identifier.citationConrad J Harrison 1, Anower Hossain 2, Julie Bruce 3, Jeremy N Rodrigues 2en_US
dc.identifier.citationJ Clin Epidemiol . 2023 Nov:163:21-28
dc.identifier.eissn1878-5921
dc.identifier.doi10.1016/j.jclinepi.2023.09.008
dc.identifier.pmid37774956
dc.identifier.urihttp://hdl.handle.net/20.500.14200/2557
dc.description.abstractObjectives: Demonstrate psychometric sensitivity analyses for testing the stability of study findings to assumptions made about patient-reported outcome measures (PROMs).en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlDOI: 10.1016/j.jclinepi.2023.09.008en_US
dc.rightsCopyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.
dc.subjectPhysiotherapyen_US
dc.subjectOncology. Pathology.en_US
dc.titlePsychometric sensitivity analyses can identify bias related to measurement properties in trials that use patient-reported outcome measures : a secondary analysis of a clinical trial using the disabilities of the arm, shoulder and hand (DASH) questionnaireen_US
dc.typeArticle
dc.source.journaltitleJournal of Clinical Epidemiology
dc.source.countryUnited States
rioxxterms.versionAOen_US
dc.contributor.trustauthorRodrigues, Jeremy
dc.contributor.roleMedical and Dentalen_US
dc.contributor.affiliationConrad J Harrison 1, Anower Hossain 2, Julie Bruce 3, Jeremy N Rodrigues 2en_US
oa.grant.openaccessyesen_US


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