This event is supported by the OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.
The focus of this workshop will be on the interpretation and validation of diagnostic tests in veterinary science. We will provide detailed coverage of validation alternatives in the absence of a perfect reference (gold) standard, moving from basic principles of test validation and interpretation to latent class analysis, including application to prevalence estimation.
Over the 5 days, the course will cover accuracy and precision as they relate to diagnostic tests, estimation of diagnostic sensitivity and specificity (and their confidence intervals), determining the sample size to estimate sensitivity and specificity for confidence intervals of predefined width, predictive values and the factors that influence them, interpretation of multiple test results in series or parallel, the impact of correlated test results, how to select an appropriate cut-off for declaring a test result positive, and the principles for estimating sensitivity and specificity when no perfect reference (gold) standard exists.
The course will cater for all levels of epidemiological background. Those less familiar with the content area will be gently introduced and show a suite of online tools to make their life easier. More advanced participants can expect to leave the course with a toolbox of code in OpenBUGs and for those familiar with R (not essential) code will be provided to implement reproducible analyses using R2OpenBUGS and similar.
Find out more, including how to register via the EITV2019 Registrations website. Download the flyer here >>