An academic guide to funnel plots and egger’s test, including how to record applicability conditions, study count, effect measure, visual features, test output from validated software, alternative explanations, and cautious.
An academic guide to sensitivity analysis and leave-one-out analysis in meta-analysis, including how to pre-specify alternative assumptions and exclusions, record sensitivity and leave-one-out outputs from validated software.
An academic guide to heterogeneity in meta-analysis, including how to record Q, I², tau-squared, confidence or prediction intervals, clinical diversity, methodological diversity, and an evidence-based interpretation from validated.
End of content
End of content
The global academy for meta-analysis, systematic review, and evidence synthesis.
Training researchers, analysts, and evidence leaders across academia, industry, policy, and healthcare.
