Diagnostic testing: what do those statistics actually tell you? Sensitivity, specificity, positive predictive value . . . you’ve probably seen these terms before. Maybe you memorized them for a test. But do you actually know what they mean? In this episode, we take a closer look at how diagnostic tests are evaluated—and how they’re often misinterpreted. From a genetic test for cellulite to a blood test for autism, we explore how “statistically significant” findings can turn into tests that don’t actually help anyone. Along the way we meet the freckle gene, the wanderlust gene, and infidelity gene.
Statistical topics
Base Rate
Bayes Rule
Case-Control Study
Matching
Conditional Probability
Sensitivity
Specificity
Positive Predictive Value
Prevalence
Negative Predictive Value
False Positives and Negatives
True Positives and Negatives
Methodological morals
“A biomarker paper is not the same thing as a biomarker test.”
“If your sample doesn't match the real world, then for all of your positive predictive value needs, call on Bayes' theorem.”
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