Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy : A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool

Levis, Brooke, Benedetti, Andrea, Levis, Alexander W et al. (25 more authors) (2017) Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy : A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool. American Journal of Epidemiology. pp. 954-964. ISSN 0002-9262

Abstract

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Authors/Creators:
  • Levis, Brooke
  • Benedetti, Andrea
  • Levis, Alexander W
  • Ioannidis, John P A
  • Shrier, Ian
  • Cuijpers, Pim
  • Gilbody, Simon https://orcid.org/0000-0002-8236-6983
  • Kloda, Lorie A
  • McMillan, Dean https://orcid.org/0000-0002-2901-8410
  • Patten, Scott B
  • Steele, Russell J
  • Ziegelstein, Roy C
  • Bombardier, Charles H
  • de Lima Osório, Flavia
  • Fann, Jesse R
  • Gjerdingen, Dwenda
  • Lamers, Femke
  • Lotrakul, Manote
  • Loureiro, Sonia R
  • Löwe, Bernd
  • Shaaban, Juwita
  • Stafford, Lesley
  • van Weert, Henk C P M
  • Whooley, Mary A
  • Williams, Linda S
  • Wittkampf, Karin A
  • Yeung, Albert S
  • Thombs, Brett D
Copyright, Publisher and Additional Information: © The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Journal Article
Dates:
  • Published: 15 May 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
Depositing User: Pure (York)
Date Deposited: 06 Jun 2017 15:30
Last Modified: 03 May 2020 11:18
Published Version: https://doi.org/10.1093/aje/kww191
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1093/aje/kww191

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