Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools : a simulation study using individual participant data

Gilbody, Simon orcid.org/0000-0002-8236-6983 (2021) Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools : a simulation study using individual participant data. Journal of Clinical Epidemiology. pp. 137-147. ISSN 0895-4356

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier Inc. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Dates:
  • Accepted: 29 March 2021
  • Published (online): 1 September 2021
  • Published: 1 September 2021
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: 01 Apr 2021 13:40
Last Modified: 08 Apr 2022 00:38
Published Version: https://doi.org/10.1016/j.jclinepi.2021.03.031
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jclinepi.2021.03.031

Download

Filename: EPDS_Cherrypicking_Manuscript_2021.03.17_Accepted_.docx

Description: EPDS Cherrypicking - Manuscript - 2021.03.17 [Accepted]

Licence: CC-BY-NC-ND 2.5

Share / Export

Statistics