Why Calculate Within-Study Variance for Meta-Analysis
Why calculate within-study variance for meta-analysis? It’s crucial for obtaining precise and reliable results when combining data from multiple studies. Within-study variance, also known as tau-squared (τ²), measures the heterogeneity among studies…
- Enter the study variance in the ‘Study Variance’ field.
- Enter the study size in the ‘Study Size’ field.
- Click the ‘Calculate’ button.
The formula for calculating within-study variance is Q – (k – 1), where Q is the Cochrane’s Q statistic and k is the number of studies. Our calculator uses this formula…
- Always ensure you have the correct study variance and size.
- Consider using random-effects models for meta-analysis when heterogeneity is high.
What is the difference between within-study and between-study variance?
For more information, see the Cochrane Handbook for Systematic Reviews of Interventions and the CDC’s guide on within-study variance.