metabayesdta
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 10 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: CRSU-Apps
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: http://apps.crsu.org.uk/MetaBayesDTA/
- Size: 4.62 MB
Statistics
- Stars: 4
- Watchers: 0
- Forks: 2
- Open Issues: 10
- Releases: 6
Metadata Files
README.md
MetaBayesDTA (v1.5.2)
App link: https://crsu.shinyapps.io/MetaBayesDTA/
Paper link: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-023-01910-y
MetaBayesDTA is an extended, Bayesian version of MetaDTA (https://crsu.shinyapps.io/dta_ma/), which allows users to conduct meta-analysis of test accuracy, with or without assuming a gold standard. Due to its user-friendliness and broad array of features, MetaBayesDTA should appeal to a wide variety of applied researchers, including those who do not have the specific expertise required to fit such models using statistical software. Furthermore, MetaBayesDTA has many features not available in other apps. For instance, for the bivariate model, one can conduct subgroup analysis and univariate meta-regression. Meanwhile, for the model which does not assume a perfect gold standard, the app can partially account for the fact that different studies in a meta-analysis often use different reference tests using meta-regression.
Please note that the current release does not yet have a manual. Please send questions and any feedback - including bug reports and suggestions for new features - to the CRSU Team at apps@crsu.org.uk.
We kindly ask you to cite this app as:
Cerullo, E., Sutton, A.J., Jones, H.E. et al. MetaBayesDTA: codeless Bayesian meta-analysis of test accuracy, with or without a gold standard. BMC Med Res Methodol 23, 127 (2023). https://doi.org/10.1186/s12874-023-01910-y
Furthermore, please cite the following papers associated with the previous version of the app - MetaDTA - whenever outputs from MetaBayesDTA are used:
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 2020, https://doi.org/10.1002/jrsm.1439
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://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0724-x
Owner
- Name: CRSU Apps
- Login: CRSU-Apps
- Kind: organization
- Location: United Kingdom
- Website: http://www.nihrcrsu.org/
- Repositories: 3
- Profile: https://github.com/CRSU-Apps
Citation (CITATION.cff)
cff-version: 1.2.0
title: MetaBayesDTA
message: >-
If you use this app, please cite it as: Cerullo, E., Sutton, A.J., Jones, H.E. et al. MetaBayesDTA: codeless Bayesian meta-analysis of test accuracy, with or without a gold standard. BMC Med Res Methodol 23, 127 (2023).
type: software
authors:
- family-names: Cerullo
given-names: Enzo
affiliation: University of Leicester
- family-names: Sutton
given-names: Alex J
affiliation: University of Leicester
- family-names: Jones
given-names: Hayley E
affiliation: University of Bristol
- family-names: Wu
given-names: Olivia
affiliation: University of Glasgow
orcid: 'https://orcid.org/0000-0002-0570-6016'
- family-names: Quinn
given-names: Terry J
affiliation: University of Glasgow
orcid: 'https://orcid.org/0000-0003-1401-0181'
- family-names: Cooper
given-names: Nicola J
affiliation: University of Leicester
orcid: 'https://orcid.org/0000-0002-4486-2791'
- family-names: Morris
given-names: Tom
affiliation: University of Leicester
orcid: 'https://orcid.org/0000-0003-3996-802X'
- family-names: Field
given-names: Ryan
affiliation: University of Glasgow
orcid: 'https://orcid.org/0000-0002-4424-9890'
- family-names: Nevill
given-names: Janion
affiliation: University of Leicester
repository-code: 'https://github.com/CRSU-Apps/MetaBayesDTA/'
abstract: >-
MetaBayesDTA is an extended, Bayesian version of MetaDTA, which allows users to conduct meta-analysis of test accuracy, with or without assuming a gold standard.
keywords:
- Network Analysis
- Diagnostic Test Accuracy
- Imperfect Gold Standard
- Latent Class
- Bayesian
- RShiny
license: GPL-3.0-or-later
version: 1.5.2
date-released: '2024-05-13'
GitHub Events
Total
- Watch event: 2
- Delete event: 1
- Issue comment event: 1
- Push event: 3
- Pull request review event: 2
- Pull request event: 3
- Fork event: 1
- Create event: 3
Last Year
- Watch event: 2
- Delete event: 1
- Issue comment event: 1
- Push event: 3
- Pull request review event: 2
- Pull request event: 3
- Fork event: 1
- Create event: 3
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tommorris168 (12)
Pull Request Authors
- RyanJField (9)
- tommorris168 (8)