Videos: Part 2. Using Test Information I
2022
This multimedia segment, Part 2. Using Likelihood Ratios, includes two videos. In the first video, a likelihood ratio is defined as a single number that indicates how a test discriminates between disease and no disease, and students calculate the likelihood ratio positive and negative for a dichotomous test. In the second video, students derive the odds-LR form of Bayes and use it to calculate the posterior probabilities of disease. In addition to the videos, materials include an instructor's note, companion slides, a glossary, an annotated bibliography, and sample exercises.
Access the videos.
- Video 2.1 Defining and calculating likelihood ratios (~11 min)
- Video 2.2 Deriving and using the odds-LR form of Bayes (~18 min)
Multimedia segment Part 2. Using Likelihood Ratios (Videos 2.1, 2.2) was designated to follow Part 1. Interpreting Information (Videos 1.1, 1.2) and Part 3. Practice Using the Odds-LR Form of Bayes (Video 3.1).
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.
Source:
Videos. Part 2. Using Likelihood Ratios (Videos 2.1, 2.2). Teaching Pack: Using Test Information I. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022. https://repository.chds.hsph.harvard.edu/repository/2557