University of Leicester
Browse
Cerullo et al MetaBayesDTA BMC 2023.pdf (3.45 MB)

MetaBayesDTA: codeless Bayesian meta-analysis of test accuracy, with or without a gold standard.

Download (3.45 MB)
journal contribution
posted on 2023-07-03, 10:44 authored by Enzo Cerullo, Alex J Sutton, Hayley E Jones, Olivia Wu, Terry J Quinn, Nicola J Cooper

Background

The statistical models developed for meta-analysis of diagnostic test accuracy studies require specialised knowledge to implement. This is especially true since recent guidelines, such as those in Version 2 of the Cochrane Handbook of Systematic Reviews of Diagnostic Test Accuracy, advocate more sophisticated methods than previously. This paper describes a web-based application - MetaBayesDTA - that makes many advanced analysis methods in this area more accessible.

Results

We created the app using R, the Shiny package and Stan. It allows for a broad array of analyses based on the bivariate model including extensions for subgroup analysis, meta-regression and comparative test accuracy evaluation. It also conducts analyses not assuming a perfect reference standard, including allowing for the use of different reference tests.

Conclusions

Due to its user-friendliness and broad array of features, MetaBayesDTA should appeal to researchers with varying levels of expertise. We anticipate that the application will encourage higher levels of uptake of more advanced methods, which ultimately should improve the quality of test accuracy reviews.

Funding

National Institute for Health Research (NIHR) Complex Reviews Support Unit (project number 14/178/29) and by an NIHR doctoral research fellowship (project number NIHR302333)

History

Author affiliation

Department of Population Health Sciences, University of Leicester

Version

  • VoR (Version of Record)

Published in

BMC medical research methodology

Volume

23

Issue

1

Pagination

127

Publisher

Springer Science and Business Media LLC

issn

1471-2288

eissn

1471-2288

Copyright date

2023

Available date

2023-07-03

Spatial coverage

England

Language

eng

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC