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VideoMultimedia, Teaching Resource 2018To Test or Not to Test I: The Value of Perfect Information
In this video, Professor Myriam Hunink asks students to think beyond a decision to treat …
In this video, Professor Myriam Hunink asks students to think beyond a decision to treat or not to treat, and to consider a third alternative or option - to test and get more information. In this case, the test information is assumed to be perfect. Students are reminded of the influential factors in clinical decision making, such as the prior probability of disease, the benefits of treatment, and the harms of treatment. Access the video.…
Probability/Bayes | Science/Technology | Test Performance | Value of Information | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
VideoMultimedia, Teaching Resource 2018ROC Curves: Teaching Prototype
In this video, ROC curves, Professor Myriam Hunink introduces students to tests with continuous or …
In this video, ROC curves, Professor Myriam Hunink introduces students to tests with continuous or categorical results. In contrast to a test with dichotomous results (e.g., positive versus negative), she poses a scenario in which a test has multiple possible results. Access the video. ROC Curves: Teaching Prototype (~20 min) Professor Hunink asks students to consider a CT coronary artery calcium for the diagnosis of cardiovascular disease. She explains that a high score is more abnormal…
Probability/Bayes | Science/Technology | Test Performance | Value of Information | Technology Assessment | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy
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