Review paper
A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials
Abstract
The vast majority of systematic reviews are planned retrospectively, once most eligible trials have completed and reported, and are based on aggregate data that can be extracted from publications. Prior knowledge of trial results can introduce bias into both review and meta-analysis methods, and the omission of unpublished data can lead to reporting biases. We present a collaborative framework for prospective, adaptive meta-analysis (FAME) of...
Paper Details
Title
A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials
Published Date
May 6, 2021
Journal
Volume
18
Issue
5
Pages
e1003629 - e1003629
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History