Meta-Suite: An innovative app for interactive, accessible, and transparent meta-analysis using R-Shiny.

Introduction: Meta-analysis is a powerful model for combining findings from multiple studies on a topic. Due to the growing complexity and amount of data in the digital age, research requires user-friendly tools for complex data analysis. This IDEAL phase2a study introduces Meta-Suite, which aims to simplify statistical analysis for meta-analysis with R. Methods: Meta-Suite was developed with R and Shiny to provide an intuitive General User Interface (GUI) for meta-analyses. It combines various R programs, such as meta, metasens, and metafor, and provides tools for data visualization, risk of bias evaluation, and quality assessment of randomized controlled trials and observational studies. Results: Meta-Suite facilitates data input, analysis, and visualization simply, enabling users to focus on their academic writing and reducing statistical analysis load. The application allows for plot customization and provides quick feedback, which improves data understanding and decision-making. It can assist in conducting meta-analyses, creating plots, and downloading them using a user-friendly interface. Conclusion: Meta-Suite offers a simple and user-friendly interface for conducting meta-analyses, allowing novice to access complex statistical methods. Robost user validation tests are now required to test and improve its functionality.

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Publication Details

Journal
Impact Surgery
Published
2024-09-30
DOI
https://doi.org/10.62463/surgery.84
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
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article

Meta-Suite: An innovative app for interactive, accessible, and transparent meta-analysis using R-Shiny.

Indraneil Mukherjee, Palak Dutta, Rohit Ganduboina, Swaraj Pawar
Impact Surgery
Data Analysis with R
article

Meta-Suite: An innovative app for interactive, accessible, and transparent meta-analysis using R-Shiny.

Indraneil Mukherjee, Palak Dutta, Rohit Ganduboina, Swaraj Pawar
article en

Abstract

Introduction: Meta-analysis is a powerful model for combining findings from multiple studies on a topic. Due to the growing complexity and amount of data in the digital age, research requires user-friendly tools for complex data analysis. This IDEAL phase2a study introduces Meta-Suite, which aims to simplify statistical analysis for meta-analysis with R. Methods: Meta-Suite was developed with R and Shiny to provide an intuitive General User Interface (GUI) for meta-analyses. It combines various R programs, such as meta, metasens, and metafor, and provides tools for data visualization, risk of bias evaluation, and quality assessment of randomized controlled trials and observational studies. Results: Meta-Suite facilitates data input, analysis, and visualization simply, enabling users to focus on their academic writing and reducing statistical analysis load. The application allows for plot customization and provides quick feedback, which improves data understanding and decision-making. It can assist in conducting meta-analyses, creating plots, and downloading them using a user-friendly interface. Conclusion: Meta-Suite offers a simple and user-friendly interface for conducting meta-analyses, allowing novice to access complex statistical methods. Robost user validation tests are now required to test and improve its functionality.

Impact SurgeryVol. 1(5)
Cedars-Sinai Medical Center (US), Staten Island University Hospital (US), Kyiv Medical University (UA), Institute of Medical Sciences (IN)
Quality Education
Openalex Percentile: Top 85%
Data Analysis with R
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