Analyze with statistical rigor
An R-based statistical engine that adapts to your study type. Intervention, prognostic, diagnostic-test-accuracy, network, scoping — five workflows, one tool, no R code. Thirteen plot types and publication-ready exports at 600 DPI across six journal presets.
Updated April 2026
Meta-Analysis
Statistical Analysis & Synthesis
- Forest Plot
- Funnel Plot
- Cumulative MA
- Leave-One-Out Forest
- Galbraith Plot
- Cook's Distance
- DFFITS
- Trim-and-Fill
- Subgroup AnalysisBETA
- GOSH Plot
- Baujat Plot
- L'Abbe Plot
- Meta-RegressionBETA
Key Capabilities
Adaptive Workflows for 5 Study Types
Pick your study type at project setup and the entire meta-analysis workflow adapts. Intervention reviews get classic forest plots and Egger's tests; DTA reviews get bivariate models and SROC; NMA reviews get netmeta with league tables; prognostic and scoping reviews follow PRISMA-PCC and PRISMA-DTA variants. Released April 2026.
Statistical Models and Estimators
Fixed-effects (Mantel-Haenszel, Peto, inverse-variance), random-effects (DerSimonian-Laird, REML, maximum-likelihood, with optional Knapp-Hartung adjustment), and mixed-effects for meta-regression. Effect measures: MD, SMD, RR, OR, HR, RD, correlation. Choose the model; mapped runs it.
Diagnostic Test Accuracy Meta-Analysis
Full DTA pipeline using bivariate models (mada) and HSROC where appropriate. Outputs include coupled forest plots for sensitivity and specificity, SROC curves with 95% confidence and prediction regions, and per-study contributions to the pooled estimates. PRISMA-DTA reporting handled automatically.
Network Meta-Analysis
End-to-end NMA via netmeta. Direct, indirect, and mixed comparisons; league tables for all treatment pairs; rankograms and SUCRA values for ranking probabilities; contribution matrices for transparency; net heat plots for inconsistency. Frequentist by default; Bayesian models on the Mapped Project tier and above.
Publication-Ready Visualization System
Thirteen plot types: classic forest, rainforest, drapery, contour-enhanced funnel, sunset funnel, trim-and-fill, GOSH, Baujat, Cook's distance, DFFITS, Galbraith, leave-one-out forest, and bubble plots for meta-regression. All export at 600 DPI in six journal presets (JAMA, Lancet, NEJM, BMJ, Cochrane, generic).
Sensitivity, Influence, and Publication-Bias Suite
Leave-one-out re-analysis, Cook's distance, DFFITS, GOSH plots, and Baujat plots for influence diagnostics. Egger's regression, Begg's rank correlation, trim-and-fill, fail-safe N, and p-curve analysis for publication bias. Subgroup analysis with between-group heterogeneity tests and meta-regression with R²-analog for moderators.
Frequently asked questions
- What is mapped's Meta-Analysis module?
- An R-powered statistical workstation for systematic-review meta-analysis. It supports five study types (intervention, prognostic, DTA, NMA, scoping), runs fixed-/random-/mixed-effects models, generates 13 plot types including rainforest, drapery, GOSH, and Baujat, and exports at 600 DPI across six journal presets — without writing R code.
- How does mapped compare to RevMan or Stata for meta-analysis?
- RevMan from Cochrane is excellent for classic intervention reviews but limited on DTA, NMA, and visualization variants. Stata is powerful but requires syntax expertise. mapped runs the same R packages (metafor, mada, netmeta) under the hood with a guided UI — strong on plot variety, NMA, and DTA; not a drop-in replacement for ad-hoc Stata scripting.
- Does mapped support network meta-analysis?
- Yes — end-to-end. Direct, indirect, and mixed comparisons via netmeta. Outputs include league tables, rankograms, SUCRA values, contribution matrices, and net heat plots for inconsistency assessment. Both frequentist (default) and Bayesian (Mapped Project tier and above) approaches are supported.
- Can mapped do diagnostic test accuracy meta-analysis?
- Yes. The DTA workflow uses bivariate models (mada) and HSROC where appropriate, producing coupled sensitivity/specificity forest plots and SROC curves with 95% confidence and prediction regions. PRISMA-DTA reporting is generated automatically.
- What plot types are available?
- Thirteen: classic forest, rainforest, drapery, contour-enhanced funnel, sunset funnel, trim-and-fill funnel, GOSH plot, Baujat plot, Cook's distance, DFFITS, Galbraith, leave-one-out forest, and bubble plots for meta-regression. All export at 600 DPI in JAMA, Lancet, NEJM, BMJ, Cochrane, or generic formats.
- How much does Meta-Analysis cost?
- Included in every Mapped Project (list $119/project, currently $79 launch pricing) — full R engine, all 5 study types, all 13 plot types, NMA, DTA, and 600 DPI publication exports. Custom Enterprise plans add unlimited projects. Pricing: mappedresearch.com/pricing.
Comparing tools? See how mapped stacks up against RevMan (Cochrane) on the workflow you actually run.
Mapped vs RevMan (Cochrane)