Plotting PPV and NPV Criterions in the ROC Space - Estimating utility to Biomarker Analysis will briefly review key concepts like Sensitivity (Sn), .. Read more Specificity (Sp) and Prevalence (Pr), and how they are used to create ROC curves (Sn, Sp) and calculate predictive values (Sn, Sp, Pr). We will highlight the limitations of solely depending on AUROC in test evaluations and the importance of considering the shape of ROC curves. Then we will demonstrate how PPV and NPV criteria can be plotted on the ROC space and how this information can be used to discuss test performance in function of clinical utility with different stakeholders. We will conclude with the demonstration of a freely accessible web-tool developed to allow people to explore the dynamic interplay between the test characteristics Sn, Sp, Pr, AUROC, ROC curve shape, PPV and NPV.
- Share your Experience
More Events From The Organizer
- GP: a Glycoproteomic Story of ..28 Oct 2020Online