What is it about?

Much has been written about the need to identify all studies when performing a meta-analysis. The reverse problem is that of making sure that data are not counted twice. This paper discusses how and why this happens and highlights several related ways in which the evidence can be overstated.

Featured Image

Why is it important?

Warns the reader of a neglected problem in meta-analysis: there may be less evidence than is appears to be tha case.

Read the Original

This page is a summary of: Overstating the evidence – double counting in meta-analysis and related problems, BMC Medical Research Methodology, February 2009, Springer Science + Business Media,
DOI: 10.1186/1471-2288-9-10.
You can read the full text:

Read

Resources

Contributors

The following have contributed to this page