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.

PMID: 32336025
Funding: - National Institute for Health Research: NF‐SI‐0617‐10145 - Research Trainees Coordinating Centre: DRF‐2018‐11‐ST2‐048

Links