Analyze with statistical rigor
Perform sophisticated meta-analyses using R-based statistical engines. Generate publication-ready forest plots, funnel plots, and comprehensive statistical tests—all without writing code.
Key Capabilities
Statistical Analysis
Comprehensive meta-analysis using R statistical packages. Supports fixed-effects, random-effects, and mixed-effects models with multiple effect measures.
Forest Plots
Generate publication-ready forest plots with customizable formatting. Include study weights, confidence intervals, and overall effect estimates.
Funnel Plots
Create funnel plots to assess publication bias and small-study effects. Multiple statistical tests included (Egger's, Begg's, trim-and-fill).
Publication Bias Tests
Comprehensive suite of tests for publication bias including Egger's regression test, Begg's rank correlation, and trim-and-fill analysis.
Influence Analysis
Identify influential studies using leave-one-out analysis, Cook's distance, and other diagnostic measures. Assess robustness of results.
Export & Integration
Export analysis results, plots, and tables to Word, PDF, or LaTeX formats. Integrate seamlessly with manuscript generation workflow.