Meta Analysis
The Meta Analysis is a new procedure included in Standard Edition.
UNISTAT’s intuitive user interface allows you to select many different types of data and mix them as input for any meta analysis.
It is possible to select one of the following as summary effect size: Standardised Mean Difference, Mean Difference, Hedges’ g, Standardised Paired Difference, Correlation, Fisher’s Z, Odds Ratio, Peto Odds Ratio, Risk Ratio, Risk Difference, Rate Ratio, Rate Difference, Hazard Ratio.
You can run one study removed (OSR), cumulative (CUM) or subgroup analyses and select one or both of fixed effect (with inverse variance (IV) or Mantel-Haenszel (MH) weights) or random effect models.
Output options include a summary table with confidence intervals, significance tests and a forest diagram, Cochran’s Q and I-square heterogeneity tests, Begg-Mazumdar Rank Correlation and Egger regression tests for publication bias and forest, funnel and precision plots.
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