Meta-Analysis and Causal Meta-analysis using R-Project-based Metafor and CausalMetaR - A Web app (R-Project-Shiny-based)

This online calculator has been developed using R-Project (4.5.3), RStudio 2026.04.0 Build 526. It is made using packages, including shiny, shinydashboard, metafor, readr, DT, ggplot2, plotly, broom, rmarkdown, CausalMetaR, SuperLearner, and dplyr. Powered by Metafor R package: Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. CausalMetaR package: Wang, G., McGrath, S., & Lian, Y. (2025). CausalMetaR: An R package for performing causally interpretable meta-analyses. Research Synthesis Methods, 16(2), 425-440. Terms of Use and Disclaimer: This tool is for educational purposes only. The author assumes no liability for inaccuracies or decisions made based on this output. No data is stored on our servers. The Meta-Analysis Toolkit provided on this site is an open-source tool intended for exploratory data analysis. Users are encouraged to verify all results with primary statistical software before publication. The owner of JeePakistan.blogspot.com is not responsible for any research outcomes derived from this tool.

Check my other online advanced statistical tools here:

1. Structural Equation Modeling using Lavaan package in R - https://jeepakistan.blogspot.com/2025/07/structural-equation-modeling-sem-using.html

2. Meta-analysis using Odds Ratio (OR) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/06/meta-analysis-using-odds-ratio-or-in.html

3. Meta-analysis using Cohen's d in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-cohens-d-in.html

4. Meta-analysis using Correlation (r) in Microsoft Excel - https://jeepakistan.blogspot.com/2025/05/meta-analysis-using-correlation-r-in.html

5. Time Series Analyses using R-Project-based Packages, and Online calculator (R-Project-Shiny-based);https://jeepakistan.blogspot.com/2025/10/time-series-analyses-using-r-project.html

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NOTE: Updated on 25/04/2026

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NOTE: Updated on 23/06/2026

1. Added an option to select Pre-calculated HR/OR/RR Data in the column mapping section.
2. Added an option for Prediction Intervals under effect size options.
3. Added an option for Hartung-Knapp Adjustment.
4. Added an option to conduct Publication Bias Tests using:
   • Egger’s weighted regression test
   • Begg’s rank correlation test
5. Added an option for Sensitivity Analysis (Leave-One-Out).

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