Visualization of Screening Test Outcomes Using R Shiny

An Easy Way to See Different Screening Test Scenarios.

Photo by Waldemar on Unsplash

I’ve told you before about at-home testing and what you need to know. You can read the article here:

At-Home Lab Tests: What Do You Need to Know?

The long and short of it is this:

• Sensitivity is the probability that the test will detect the true cases of the disease.
• Specificity is the probability that the test will detect the true healthy people, those without the disease.
• Positive predictive value is the probability that a positive test is truly positive.
• Negative predictive value is the probability that a negative test is someone without the disease.
• Prevalence is the number of cases of the disease in the population being tested, divided by the total population being tested.
• The higher the prevalence, the higher the positive predictive value. For example: A positive test for influenza is more likely to be a true case of influenza in the middle of flu season. When…