robvis
robvis generates visualizations of risk-of-bias (ROB) assessments to support evidence synthesis and systematic reviews.
Key Features:
- R package and Shiny integration: Implements visualization functionality as an R package with components built on the Shiny framework.
- Specialized ROB plotting: Provides plotting routines tailored to risk-of-bias (ROB) assessments used in systematic reviews.
- Publication-quality figures: Produces high-quality figures that depict ROB evaluations for inclusion in reports and manuscripts.
- Automation and interactivity: Automates conversion of ROB assessment data into interactive visual outputs leveraging Shiny.
Scientific Applications:
- Systematic reviews: Summarizes and visualizes ROB assessments to evaluate the quality and potential biases of included studies.
- Evidence synthesis reporting: Supports transparent presentation and communication of risk-of-bias findings within evidence syntheses.
Methodology:
Implements visualization routines in R and uses the Shiny framework to automate generation of interactive and publication-quality risk-of-bias figures.
Topics
Details
- License:
- MIT
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/8/2021
Operations
Publications
McGuinness LA, Higgins JPT. Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments. Research Synthesis Methods. 2020;12(1):55-61. doi:10.1002/jrsm.1411. PMID:32336025.
DOI: 10.1002/JRSM.1411
PMID: 32336025
Funding: - National Institute for Health Research: NF‐SI‐0617‐10145
- Research Trainees Coordinating Centre: DRF‐2018‐11‐ST2‐048
Links
Repository
https://github.com/mcguinlu/robvis