CADTH (Free!) Virtual Workshop 2021
Registration
This workshop was first scheduled to take place at the CADTH Symposium in 2020, but was cancelled due to the Covid-19 pandemic. It is now being offered for free by CADTH as part of a virtual series. Click here for registration details
Overview
The goal of this interactive workshop is to provide participants with an overview of bivariate meta-analysis methods for diagnostic accuracy. We will first introduce the traditional model where the reference test is perfect. We will then cover latent class meta-analysis for the situation when the reference test is not perfect. Lectures will be followed by tutorials of the following Shiny app for a hands-on experience:
- Bayesian Diagnostic Test Accuracy Meta-Analysis (from https://bayesdta.shinyapps.io/meta-analysis/)
Speakers:
Session 1: Bivariate Meta-analyses (9:00 – 10:30am)
Session 2: Latent class meta-Analysis (10:30am-noon)
References
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Kohli M, Schiller I, Dendukuri N, Dheda K, Denkinger CM, Schumacher SG, Steingart KR. Xpert(®) MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance. Cochrane Database Syst Rev. 2018 Aug 27;8:CD012768
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Xie X, Sinclair A, Dendukuri N. Evaluating the accuracy and economic value of a new test in the absence of a perfect reference test. Res Synth Methods. 2017 Sep;8(3):321-332.
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Comparison of Saliva and Nasopharyngeal Swab Nucleic Acid Amplification Testing for Detection of SARS-CoV-2: A Systematic Review and Meta-analysis. JAMA Intern Med. 2021 Jan 15:e208876.
Blog
Bayesian inference for the Bivariate model for diagnostic meta-analysis
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