ProMeta 4
Beta — ProMeta 4 is in public beta. Report anything odd at info@actilab.eu
OPEN ProMeta — see all releases.
ProMeta is a free browser application for meta-analysis: import a dataset, run analyses, and get results ready for your manuscript or report — tables, figures, and plots. No installation, no account, and your data never leaves your machine.
If you used ProMeta 3, the Java desktop application, in the past: this is its successor. The statistical engine has been rebuilt from the ground up — improved and refined — and now runs entirely in the browser, with no Java, no installation, and no operating-system compatibility issues.
Features
Data ProMeta handles
- Data types: means, correlations (Pearson's r, Kendall's tau, Spearman's rho), binary data, incidence rates, and survival data (hazard ratios).
- Study designs: independent or matched groups, cross-sectional or longitudinal.
- Effect sizes: Cohen's d, Hedges' g, unstandardized mean difference, Pearson's r, Fisher's Z, odds ratio, risk ratio, risk difference, rate ratio, hazard ratio (and their log-transformed forms).
- Complex nested data: a single study can contribute multiple subgroups, comparisons, timepoints, and outcomes — ProMeta keeps that structure intact instead of forcing one row per study.
- Moderators: categorical, decimal, or integer, at the study, subgroup, comparison, or outcome level.
Analyses and results
Fixed-effect, random-effects, and multilevel models (see Statistical models for how they work) — plus effect-size summary, cumulative meta-analysis, moderator analysis, heterogeneity, sensitivity, and publication-bias analyses. Results come as tables and, where relevant, as editable, publication-ready SVG plots (forest, funnel, scatter).
Getting your data in
Source dataset import from CSV and JSON, with schema and range checks.
Your data stays yours
Your dataset, calculations, and plots are stored locally in your browser and are never uploaded to an ActiLab server. See Data & Security for why this matters for research data specifically.
Who it's for
Researchers and students running a systematic review with meta-analysis who need a fast, dependable path from raw study data to manuscript-ready results, without paying for or installing desktop statistical software.