Tag: R Shiny

BERD Faculty and Staff Contribute to the UT Covid-19 Site with Novel Tools


Faculty and staff from the BERD Unit at the TN-CTSI at UTHSC have contributed a project on local COVID-19 data. In addition to generating static graphics on the disease severity in the region, researchers have also created interactive web-based maps using RShiny. These maps allow users to Zoom in precisely on any region of the… Read More

Anatomy of a Diagnostic Test – an R Shiny Example by Saunak Sen


The positive and negative predictive values of a dignostic test depend not only on its sensitivity and specificity, but also the prevalence of the disease (or the pre-test probability of disease).  This interactive display illustrates that inter-dependence. Move the sensitivity, specificity, and disease prevalence sliders, and watch the positive and negative predictive value sliders change… Read More