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metadta

An interactive web-based tool for analyzing, interrogating, and visualizing diagnostic test accuracy meta-analyses using R-shiny

https://github.com/crsu-apps/metadta

Science Score: 67.0%

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    Low similarity (7.8%) to scientific vocabulary
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Repository

An interactive web-based tool for analyzing, interrogating, and visualizing diagnostic test accuracy meta-analyses using R-shiny

Basic Info
Statistics
  • Stars: 6
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 4
Created almost 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

DOI

MetaDTA v2.1.5

MetaDTA is an online interactive application for conducting meta-analysis of diagnostic test accuracy studies (DTA) requiring no specialist software for the user to install but leveraging established analysis routines (specifically the lme4 package in R). The tool is interactive and uses an intuitive ‘point and click’ interface and presents results in visually intuitive and appealing ways. It is hoped that this tool will assist those in conducting DTA meta-analysis who are not statistical experts, and, in turn, increase the relevance of published meta-analyses, and in the long term contribute to improved healthcare decision making as a result.

The application is available at: https://crsu.shinyapps.io/MetaDTA/

Version 2.0 is the version as described in the paper: Patel A, Cooper NJ, Freeman SC, Sutton AJ. Graphical enhancements to summary receiver operating charcateristic plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data. Research Synthesis Methods 2021; 12: 34, https://doi.org/10.1002/jrsm.1439. This builds on the previous version as described in the paper: Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Medical Research Methodology 2019; 19: 81, https://doi.org/10.1186/s12874-019-0724-x.

Owner

  • Name: CRSU Apps
  • Login: CRSU-Apps
  • Kind: organization
  • Location: United Kingdom

Citation (CITATION.cff) 

cff-version: 1.2.0
title: MetaDTA
message: >-
  If you use this app please cite it as: Freeman SC, Kerby CR, Patel A, 
  Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool 
  to conduct and interrogate meta-analysis of diagnostic test accuracy 
  studies: MetaDTA. BMC Medical Research Methodology 2019; 19: 81.
  If you use the summary receiver operating charcateristic plots please also 
  cite: Patel A, Cooper NJ, Freeman SC, Sutton AJ. Graphical enhancements to 
  summary receiver operating charcateristic plots to facilitate the analysis 
  and reporting of meta-analysis of diagnostic test accuracy data. Research 
  Synthesis Methods 2021; 12: 34.
type: software
authors:
  - family-names: Freeman
    given-names: Suzanne C
    affiliation: University of Leicester
    orcid: 'https://orcid.org/0000-0001-8045-4405'
  - family-names: Nevill
    given-names: Clareece R
    affiliation: University of Leicester
    orcid: 'https://orcid.org/0000-0001-8305-2516'
  - family-names: Patel
    given-names: Amit
    affiliation: University of Leicester
  - family-names: Field
    given-names: Ryan
    affiliation: University of Glasgow
    orcid: 'https://orcid.org/0000-0002-4424-9890'
  - family-names: Bradbury
    given-names: Naomi
    affiliation: University of Leicester
    orcid: 'https://orcid.org/0000-0002-8934-6301'
  - family-names: Morris
    given-names: Tom
    affilitation: University of Leicester
    orcid: 'https://orcid.org/0000-0003-3996-802X'
  - family-names: Nevill
    given-names: Janion
    affiliation: University of Leicester
  - family-names: Quinn
    given-names: Terry
    affiliation: University of Glasgow
  - family-names: Cooper
    given-names: Nicola J
    affiliation: University of Leicester
    orcid: 'https://orcid.org/0000-0002-4486-2791'
  - family-names: Sutton
    given-names: Alex J
    affiliation: University of Leicester
repository-code: 'https://github.com/CRSU-Apps/MetaDTA/'
abstract: >-
  MetaDTA is an online interactive application for conducting meta-analysis of 
  diagnostic test accuracy studies (DTA) requiring no specialist software for 
  the user to install but leveraging established analysis routines 
  (specifically the the bivariate binomial model of Chu & Cole implemented using lme4 package in R).
keywords:
  - Diagnostic Test Accuracy
  - DTA
  - MetaDTA
  - RShiny
license: GPL-3.0-or-later
version: 2.1.5
date-released: '2024-11-19'

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Last Year
  • Release event: 1
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  • Issue comment event: 2
  • Push event: 5
  • Gollum event: 1
  • Pull request review event: 3
  • Pull request event: 5
  • Create event: 3