Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Uncertainty in heterogeneity estimates in meta-analyses — John P A Ioannidis (2007) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Uncertainty in heterogeneity estimates in meta-analyses
Shared by
John P A Ioannidis
Stanford University
Uncertainty in heterogeneity estimates in meta-analyses
Article
2007
en
Authors
John P A Ioannidis
Stanford University
NP
Nikolaos A. Patsopoulos
ΕΕ
Εvangelos Εvangelou
Abstract
1 min read
John Ioannidis, Nikolaos Patsopoulos, and Evangelos Evangelou argue that, although meta-analyses often measure heterogeneity between studies, these estimates can have large uncertainty, which must be taken into account when interpreting evidence
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2006
Bayesian meta‐analysis and meta‐regression for gene–disease associations and deviations from Hardy–Weinberg equilibrium
Georgia Salanti
,
Julian P. T. Higgins
,
Thomas A Trikalinos
,
John P A Ioannidis
Article
2004
Heterogeneity testing in meta‐analysis of genome searches
Ηλίας Ζιντζαράς
,
John P A Ioannidis
Letter
2008
Heterogeneous views on heterogeneity
Nikolaos A. Patsopoulos
,
Εvangelos Εvangelou
,
John P A Ioannidis
Article
2019
Efficacy of Cancer Immunotherapy: An Umbrella Review of Meta-Analyses of Randomized Controlled Trials
Jong Yeob Kim
,
Keum Hwa Lee
,
Michael Eisenhut
,
Andreas Kronbichler
,
Gwang Hun Jeong
,
Jae Il Shin
,
Gabriele Gamerith
Article
2021
Effect Sizes Reported in Highly Cited Emotion Research Compared With Larger Studies and Meta-Analyses Addressing the Same Questions
Ioana A. Cristea
,
Raluca Georgescu
,
John P A Ioannidis
Discussion(0)
No comments yet. Be the first to comment.