RRORPair: An Interactive R/Shiny Dashboard for Comprehensive Risk Ratio and Odds Ratio Meta-Analysis
Year: 2025
Type: article
Abstract: Background Meta-analysis is central to evidence-based practice, yet conducting comprehensive analyses—especially involving binary outcomes such as risk ratios (RR) and odds ratios (OR)—often demands specialized software and statistical programming skills. These requirements can pose barriers to many researchers. Methods We introduce RRORPair, an open-source R/Shiny web application for RR/OR meta-analysis. Built on widely-used R packages (meta, metafor, dmetar, and ggplot2), it offers an intuitive interface enabling data import via CSV, selection of analytical models, and extensive customization of visual outputs. RRORPair supports classical and Bayesian methods, publication bias detection, heterogeneity diagnostics, meta-regression, and subgroup or cumulative analyses. Results RRORPair provides: Forest plots (standard, JAMA, RevMan5 style) Funnel plots, Egger’s test, trim-and-fill, limit meta-analysis, and p-curve analysis Heterogeneity statistics (I 2 , τ 2 ), Baujat plots, and influence diagnostics Meta-regression with up to three moderators, cumulative and subgroup analysis Bayesian meta-analysis Outputs include interactive plots and downloadable reports. Conclusions RRORPair is a powerful and user-friendly tool that makes advanced meta-analysis of binary outcomes accessible without programming. It supports robust evidence synthesis and encourages transparency and reproducibility in research.
Source: F1000Research
Authors: Laiba Khan, Maham khan, Nijat Rzayev, Manpreet Kour, Andrew Woo, Parichatra Homhuan, Poe Hnin Phyu, Mahmood Ahmad, Touqeer Rana, Joanne Lac
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,350
OpenAlex ID: W7106099709