Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2024

An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data

0 Datasets

0 Files

en
2024
Vol 24 (1)
Vol. 24
DOI: 10.1186/s12874-023-02134-w

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
John P A Ioannidis
John P A Ioannidis

Stanford University

Verified
Zelalem Negeri
Brooke Levis
John P A Ioannidis
+49 more

How to cite this publication

Zelalem Negeri, Brooke Levis, John P A Ioannidis, Brett D. Thombs, Andrea Benedetti, Ying Sun, Chen He, Ankur Krishnan, Yin Wu, Parash Mani Bhandari, Dipika Neupane, Mahrukh Imran, Danielle B. Rice, Marleine Azar, Matthew J. Chiovitti, Kira E. Riehm, Jill Boruff, Pim Cuijpers, Simon Gilbody, Lorie A. Kloda, Scott B. Patten, Roy C. Ziegelstein, Sarah Markham, Liane Comeau, Nicholas Mitchell, Simone N. Vigod, Muideen O. Bakare, Cheryl Tatano Beck, Adomas Bunevičius, Tiago Castro e Couto, Genesis Chorwe‐Sungani, Nicolas Favez, Sally Field, Lluı̈sa Garcia-Esteve, Simone Honikman, Dina Sami Khalifa, Jane Kohlhoff, Laima Kusminskas, Zoltán Kozinszky, Sandra Nakić Radoš, Susan Pawlby, Tamsen Rochat, Debbie Sharp, Johanne Smith‐Nielsen, Kuan‐Pin Su, Meri Tadinac, S. Darius Tandon, Pavaani Thiagayson, Annamária Töreki, A. Torres, Thandi van Heyningen, Johann M. Vega‐Dienstmaier (2024). An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data. , 24(1), DOI: https://doi.org/10.1186/s12874-023-02134-w.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2024

Authors

52

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1186/s12874-023-02134-w

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access