Abstract
Dealing with heterogeneity in meta-analyses is often tricky, and there is only limited advice for authors on what to do. We investigated how authors addressed different degrees of heterogeneity, in particular whether they used a fixed effect model, which assumes that all the included studies are estimating the same true effect, or a random effects model where this is not assumed.
| Original language | English |
|---|---|
| Journal | B M C Medical Research Methodology |
| Volume | 11 |
| Pages (from-to) | 22 |
| ISSN | 1471-2288 |
| DOIs | |
| Publication status | Published - 2011 |
Keywords
- Cross-Sectional Studies
- Data Interpretation, Statistical
- Databases, Factual
- Humans
- Meta-Analysis as Topic
- Models, Statistical
- Research Design
Fingerprint
Dive into the research topics of 'Dealing with substantial heterogeneity in Cochrane reviews. Cross-sectional study'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS