ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.
Upload your data and get a complete meta-analysis & forest plot report. Free.
Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size, so sign up to analyze your full dataset.
Running meta-analysis & forest plot analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis: pool effect sizes across studies. Map one row per study — a study label, the effect estimate, and either its standard error or its 95% confidence interval — and get the forest plot, the fixed-effect (inverse-variance) and random-effects (DerSimonian-Laird) pooled estimates side by side, the heterogeneity diagnostics that decide which of the two means anything (Cochran's Q, I-squared, tau-squared, plus a prediction interval for the next study), optional subgroup pooling with a between-subgroup Q test, and a funnel plot with Egger's regression for small-study effects — reported with an explicit statement of how little power that test has at your study count.
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Pool the effect sizes reported by a set of studies into one estimate with a confidence interval
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data: R analyses, interactive reports, AI insights, and PDF export.
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CympleData Scientist Send me your data and question, I’ll send you the analytics. ds@mcpanalytics.ai
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