Showing posts with label Meta-analysis. Show all posts
Showing posts with label Meta-analysis. Show all posts

Wednesday, September 10, 2025

Meta-Analysis and Causal Meta-analysis using R-Project-based Metafor and CausalMetaR, and Online calculator (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

NOTE: Updated on 25/04/2026

Bayes' Theorem - Educational Content