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Fixed & random effects
Inverse-variance pooling with DerSimonian-Laird random effects — the standard your reviewers already expect from RevMan. Check the heterogeneity math yourself with the free I² calculator.
META-ANALYSIS SOFTWARE
Meta-analysis software that pools your data the moment extraction is done.
No exporting to a separate stats package. Pool effect sizes with the same models Cochrane reviews use — fixed or random effects, Mantel-Haenszel, Peto — and get forest plots, funnel plots, and heterogeneity statistics automatically.
3
Pooling Methods
10+
Statistical Outputs
Q, I², τ²
Heterogeneity Stats
The analysis engine
Built to Cochrane conventions, not a generic chart library
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Mantel-Haenszel & Peto
Dichotomous pooling methods that stay robust with sparse events, without needing continuity correction on zero-cell studies. See the underlying formulas in the free effect size calculator.
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Forest & funnel plots
Interactive, exportable plots — including RevMan-style grouped subtotals when your studies split into subgroups, and log-scale funnel plots for ratio measures.
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Subgroup analysis
Test for subgroup differences with the same Q-statistic-based chi-square test the Cochrane Handbook specifies — not an approximation.
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Sensitivity analysis
Leave-one-out re-pooling shows whether any single study is driving your overall effect, before a reviewer asks the question for you.
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Risk of bias summary
Per-study traffic light plus an aggregate risk-of-bias graph — the two figures every Cochrane-style review needs, generated from your extraction data.
From RevMan's formulas, without RevMan's workflow
The statistical methods are the ones Cochrane reviews are built on — verified against Cochrane's own Statistical algorithms in Review Manager reference — the difference is that your studies, extracted effect sizes, and pooled results live in the same place as your screening decisions, so nothing has to be manually re-typed between screening and analysis.
See the full systematic review workflow →Related capabilities
Systematic Review Software
Where the extracted effect sizes and standard errors this page pools actually come from — import, screening, and structured extraction.
AI Literature Screening
How studies get included in the first place — AI-assisted relevance scoring with human-controlled final decisions.
Evidence Synthesis Software
The full evidence pipeline this meta-analysis engine is one stage of, end to end.
Omics Evidence Synthesis
GWAS, RNA-seq, and rare-variant genomics data — gene x study x variant maps and a Manhattan plot, not the same statistical engine as clinical pooling.
FAQ
Frequently asked questions
What pooling methods does this meta-analysis software support?+
Inverse-variance (fixed and DerSimonian-Laird random effects), Mantel-Haenszel, and Peto's method for dichotomous outcomes — plus mean difference and Hedges' g standardized mean difference for continuous outcomes.
Can I run subgroup analysis?+
Yes — tag studies with a subgroup label at extraction, and any pooled run with two or more subgroups automatically shows subtotal diamonds and a test for subgroup differences.
Does it handle omics data too?+
This engine's inverse-variance, Mantel-Haenszel, and Peto pooling is built for clinical dichotomous and continuous outcomes. For genomics data, EvidenceFlow has a separate Omics Analysis dashboard — gene × study × variant maps, a Manhattan plot, and cross-study variant aggregation — see the omics evidence synthesis page for exactly what's supported there.
Is this free meta-analysis software?+
The pooling engine, forest plots, and heterogeneity statistics are free with no subscription required. AI-assisted extraction that feeds this engine is a paid upgrade.
How is heterogeneity reported?+
Cochran's Q, I², and τ² are computed for every pooled run, with an automatic low/moderate/high interpretation alongside the numbers.
Pool your first meta-analysis
Extract a handful of studies and run a pooled analysis to see the forest plot, heterogeneity statistics, and interpretation generated automatically.