How should meta‐regression analyses be undertaken and interpreted?
By S. Thompson, Julian P. T. Higgins. Statistics in Medicine, 2002
2,946 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/28a99908f76258acfdfd63943c7a0469bcaacc6e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- David Moher
- Georgia Salanti
- John P. A. Ioannidis
- Douglas G. Altman
- Julian P. T. Higgins
- W. Viechtbauer
- J. Tetzlaff
- G. Banks
Citations in the corpus
- Meta-analytic Reviews in the Organizational Sciences: Two Meta-analytic Schools on the Way to MARS (the Meta-analytic Reporting Standards) (2013, methodology): “In the H&O statistical approach, the terms study characteristics or vector correlation are not used but the analogous analysis method is meta-regression (Borenstein et al. 2009; Thompson and Higgins 2002).”
- Controlling the risk of spurious findings from meta‐regression (2004, methodology): “as aggregation bias) and confounding (resulting from correlation between characteristics) [7].”
- Effects of Nonsteroidal Antiinflammatory Drugs on Patient-controlled Analgesia Morphine Side Effects: Meta-analysis of Randomized Controlled Trials (2005, methodology): “Because trials were not randomized in respect to the dose administered, the relation between morphine dose and nausea and vomiting may also be explained by other factors, such as pain intensity or duration of treatment, even though an attempt was made to limit such bias.(57) Morphine consumption was”