CADTH (Free!) Virtual Workshop 2021
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
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/)
Session 1: Bivariate Meta-analyses (9:00 – 10:30am)
Session 2: Latent class meta-Analysis (10:30am-noon)
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
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.
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.
We pursue our series of blog articles illustrating rjags programs for diagnostic meta-analysis with an article describing how to carry out Bayesian inference for the...Read more
Contents OVERVIEW MOTIVATING EXAMPLE AND DATA THE MODEL INITIAL VALUES COMPILING AND RUNNING THE MODEL MONITORING CONVERGENCE SUMMARY STATISTICS SROC plot SCRIPT...Read more
Want to use a Bayesian approach to plan your study for comparing proportions? The R package SampleSizeProportions implements sample size calculations based on...Read more