publication-bias-detection

What problem does it solve?

Detects and quantifies publication bias in meta-analyses by combining visual funnel plots with quantitative tests and adjustment methods, helping researchers assess robustness of conclusions.

Core Features & Use Cases

• Funnel plot visualization to inspect symmetry and potential bias across studies.
• Egger's regression test and Begg's test to statistically evaluate asymmetry.
• Trim-and-fill adjustments and more advanced selection-model approaches to estimate the impact of missing studies.
• Clear reporting of original and adjusted effect estimates to inform sensitivity analyses.
• Suitable for integration into analysis pipelines in evidence synthesis across disciplines.

Quick Start

Provide a funnel-plot based bias assessment for a meta-analysis, including Egger's test results and optional trim-and-fill adjustments.