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

ABSTRACT:

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,

SUBMITTER: Cerullo E 

PROVIDER: S-EPMC10210277 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature