Measuring inconsistency in meta-analyses
Top Cited Papers
Open Access
- 4 September 2003
- Vol. 327 (7414) , 557-560
- https://doi.org/10.1136/bmj.327.7414.557
Abstract
Cochrane Reviews have recently started including the quantity I2 to help readers assess the consistency of the results of studies in meta-analyses. What does this new quantity mean, and why is assessment of heterogeneity so important to clinical practice?This publication has 25 references indexed in Scilit:
- Treatment discontinuation with selective serotonin reuptake inhibitors (SSRIs) versus tricyclic antidepressants (TCAs)Cochrane Database of Systematic Reviews, 2006
- Issues in the selection of a summary statistic for meta‐analysis of clinical trials with binary outcomesStatistics in Medicine, 2002
- Quantifying heterogeneity in a meta‐analysisStatistics in Medicine, 2002
- Funnel plots for detecting bias in meta-analysisJournal of Clinical Epidemiology, 2001
- Which guidelines can we trust?Western Journal of Medicine, 2001
- Stepwise Selection in Small Data SetsPublished by Elsevier ,1999
- Cumulative Meta-Analysis of Therapeutic Trials for Myocardial InfarctionNew England Journal of Medicine, 1992
- Small sample performance of tests of homogeneity of odds ratios in K 2 × 2 tablesStatistics in Medicine, 1992
- The performance of the two‐stage analysis of two‐treatment, two‐period crossover trialsStatistics in Medicine, 1989
- The Combination of Estimates from Different ExperimentsPublished by JSTOR ,1954