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VideoMultimedia, Teaching Resource 2018Probabilities and Odds: Teaching Prototype
In this video, Professor Myriam Hunink emphasizes the importance of uncertainty in the context of …
In this video, Professor Myriam Hunink emphasizes the importance of uncertainty in the context of decision making in clinical medicine and health policy. Using the example of a 55-year-old woman with exertional chest pain, she poses the question, what is the chance, or probability, that she has underlying coronary artery disease, and how does that relate to our decision making process? Access the video. Probabilities and Odds: Teaching Prototype (~6 min) Students learn that odds and probability…
Probability/Bayes | Decision Analysis | Health/Medicine | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy -
VideoMultimedia, Teaching Resource 2018Bayes with Beans: Teaching Prototype
In this video, Professor Myriam Hunink introduces the concept of “diagnostic Bayesian thinking” through a …
In this video, Professor Myriam Hunink introduces the concept of “diagnostic Bayesian thinking” through a simple example and a visual representation using beans! Students consider how an initial probability or belief is influenced by new diagnostic information through the use of Bayes’ theorem. Access the video. Bayes with Beans: Teaching Prototype (~14 min) Using the example of a tick bite after a walk through the woods, she asks you to imagine sitting in a doctor’s…
Probability/Bayes | Test Performance | Decision Analysis | Health/Medicine | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy -
VideoMultimedia, Teaching Resource 2018Bayes Theorem with Odds and LR's: Teaching Prototype
In this video, Professor Myriam Hunink walks through an analytic approach to probability revision using …
In this video, Professor Myriam Hunink walks through an analytic approach to probability revision using the Odds-LR form of Bayes. Students consider how an initial probability or belief is influenced by new diagnostic information through the use of Bayes' theorem. Access the video. Bayes Theorem with Odds and LR's: Teaching Prototype (~9 min) Using the example of 100 patients with a tick bite and suspected Lyme disease, Professor Hunink visually maps out the prior odds of disease…
Probability/Bayes | Test Performance | Health/Medicine | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy -
VideoMultimedia, Teaching Resource 2018To Treat or Not to Treat: Teaching Prototype
In this video, Professor Myriam Hunink begins with “To treat or not to treat, that …
In this video, Professor Myriam Hunink begins with “To treat or not to treat, that is the question...” 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. To Treat or Not to Treat: Teaching Prototype (~12 min) Professor Hunink introduces the concept of thresholds. In this particular case, the threshold of interest is defined as…
Probability/Bayes | Test Performance | Health Systems | Health/Medicine | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy -
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 | Test Performance | Value of Information | Health Systems | Health/Medicine | Science/Technology | North America | Europe | High School | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
VideoMultimedia, Teaching Resource 2018To Test or Not to Test II: The Value of Imperfect 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 imperfect. Access the video. To Test or Not to Test II: The Value of Imperfect Information (~20 min) Professor Hunink shares the story of a colleague who was at the recommended age…
Probability/Bayes | Test Performance | Value of Information | Decision Analysis | 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 | Test Performance | Value of Information | Technology Assessment | Health Systems | Health/Medicine | Science/Technology | North America | Europe | High School | College | Graduate | Graphics/Visualization | Quantitative Literacy
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