Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Cutting Scores | 1 |
| Depression (Psychology) | 1 |
| Diagnostic Tests | 1 |
| Meta Analysis | 1 |
| Patients | 1 |
| Questionnaires | 1 |
| Screening Tests | 1 |
| Statistical Analysis | 1 |
Source
| Research Synthesis Methods | 1 |
Author
| Benedetti, Andrea | 1 |
| Ioannidis, John P. A. | 1 |
| Jones, Hayley E. | 1 |
| Levis, Brooke | 1 |
| Rücker, Gerta | 1 |
| Schumacher, Martin | 1 |
| Thombs, Brett | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBenedetti, Andrea; Levis, Brooke; Rücker, Gerta; Jones, Hayley E.; Schumacher, Martin; Ioannidis, John P. A.; Thombs, Brett – Research Synthesis Methods, 2020
Selective cutoff reporting in primary diagnostic accuracy studies with continuous or ordinal data may result in biased estimates when meta-analyzing studies. Collecting individual participant data (IPD) and estimating accuracy across all relevant cutoffs for all studies can overcome such bias but is labour intensive. We meta-analyzed the…
Descriptors: Cutting Scores, Diagnostic Tests, Screening Tests, Meta Analysis
