Glossary: Using Test Information II
2022
This glossary of terms supports the teaching pack on Using Test Information II, in which students are introduced to tests with continuous or categorical results, and calculate the sensitivity and specificity conditional on different ‘cutoff points’ or 'positivity criterion'. They are introduced to ROC curves and explore the implications of operating at different parts of the curve for any single test. They calculate the optimal positivity criterion given information on the prior, the test performance, and the relative consequences of true positives, false negatives, and false positives. In addition to the glossary, materials include an instructor's note, videos, companion slides, an annotated bibliography, and sample exercises.
Glossary of Terms
- Accuracy
- Conditional probability
- Conditional independence
- Detection bias
- Expected value of information
- False negatives (FN)
- False positives (FP)
- False positive rate (FPR)
- Gold standard
- Index test
- Likelihood ratio
- Odds
- Positive predictive value (PPV)
- Positivity criterion
- Receiver operating characteristic (ROC) curve
- Relative risk (RR)
- Sensitivity
- Specificity
- Threshold analysis
- True negatives (TN)
- True positives (TP)
- True positive rate (TPR)
- Workup bias
This teaching pack was developed by Sue J. Goldie at the Center for Health Decision Science, Harvard T.H. Chan School of Public Health. The multimedia components were developed as part of a series of pilots in the CHDS Media Hub, led by Jake Waxman, where media-based pedagogy experiments contribute to new ways of thinking about short form content.
Related Files:
Source:
Glossary. Teaching Pack: Using Test Information II. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022. https://repository.chds.hsph.harvard.edu/repository/2561