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

Bhandari, P M, Levis, B, Neupane, D, Patten, S B, Shrier, I, Thombs, B D, Benedetti, A, Sun, Y, He, C, Rice, D B, Krishnan, A, Wu, Y, Azar, M, Sanchez, T A, Chiovitti, M J, Saadat, N, Riehm, K E, Imran, M, Negeri, Z, Boruff, J T, Cuijpers, P, Gilbody, S, Kloda, LA and Wynter, Karen 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, vol. 137, pp. 137-147, doi: 10.1016/j.jclinepi.2021.03.031.

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Title Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data
Author(s) Bhandari, P M
Levis, B
Neupane, D
Patten, S B
Shrier, I
Thombs, B D
Benedetti, A
Sun, Y
He, C
Rice, D B
Krishnan, A
Wu, Y
Azar, M
Sanchez, T A
Chiovitti, M J
Saadat, N
Riehm, K E
Imran, M
Negeri, Z
Boruff, J T
Cuijpers, P
Gilbody, S
Kloda, LA
Wynter, KarenORCID iD for Wynter, Karen orcid.org/0000-0003-4620-7691
Journal name Journal of clinical epidemiology
Volume number 137
Start page 137
End page 147
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-09
ISSN 0895-4356
1878-5921
Keyword(s) Accuracy estimates
Bias
Cherry-picking
Data-driven methods
Depression
Optimal cutoff
Depression Screening Data (DEPRESSD) EPDS Group
Language eng
DOI 10.1016/j.jclinepi.2021.03.031
Indigenous content off
Field of Research 01 Mathematical Sciences
11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151695

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