The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method

Joanna IntHout, John PA Ioannidis, George F Borm · 2014

Read The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method by Joanna IntHout, John PA Ioannidis, George F Borm (2014) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-4015721.txt.

Description

IntHout, Ioannidis, and Borm compared two methods for meta-analysis in 2014. Meta-analysis pools results from many trials of the same question to get a clearer answer. The standard DerSimonian-Laird method is used almost everywhere for random effects models.

The authors show that the standard method often gives error rates that are too high. A less used method, named for Hartung, Knapp, Sidik, and Jonkman, performs far better in their tests. It is also simple to apply in practice. Their work gives trial reviewers a strong reason to switch methods, so pooled results are less likely to claim effects that are not real.

Catalog record

CREATORJoanna IntHout, John PA Ioannidis, George F Borm
YEAR2014
COLLECTIONPAPERS
FORMATTXT
FILE SIZE51 KB
LICENSECreative Commons Attribution License
RIGHTSCC BY
SOURCEPubMed Central

Source: https://pmc.ncbi.nlm.nih.gov/articles/PMC4015721/

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