publication-bias-detection

Funnel plot analysis visually inspects study symmetry to detect publication bias in meta-analyses. This Skill generates funnel plots using R and the metafor package, helping researchers identify potential missing studies across biomedical and social science datasets.

Running Egger's test and trim-and-fill adjustments quantifies publication bias and estimates the impact of missing studies. This Skill calculates these statistical metrics using R, reporting original and adjusted effect estimates for sensitivity analyses.

Yes, you need the metafor package in R to perform funnel plot asymmetry tests. This Skill requires the metafor environment to execute Egger's regression test, Begg's test, and advanced selection-model approaches for bias evaluation.

Assessing the impact of missing studies in evidence synthesis is best achieved through selection-model approaches and trim-and-fill adjustments. This Skill applies these methods to estimate how missing data affects pooled effect estimates.

You can use selection models to adjust pooled effects for publication bias in biomedical research. This Skill applies advanced selection-model approaches alongside standard adjustments to provide clear reporting of original and adjusted effect estimates.