Resources Repository
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Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Test Performance | Decision Analysis | Environmental Health | Probability/Bayes | Health/Medicine | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Using Fire in Forest Management: Decision Making under Uncertainty
This self-directed tutorial is for a decision analytic model related to the execution and management …
This self-directed tutorial is for a decision analytic model related to the execution and management of prescribed burns within forests. This tutorial builds upon the work of the publication: Cohan D, Haas SM, Radloff DL, Yancik RF. Using Fire in Forest Management: Decision Making Under Uncertainty. Interfaces 1984; 14 (5): 8-19. Not open access. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick…
Decision Analysis | Environmental Health | Mathematical Models | Climate/Environment | Graduate | Doctoral | Professional -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Valuing Individual Health Outcomes
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative …
In this teaching pack on Valuing Individual Health Outcomes, students learn how to assign quantitative values to health outcomes at the individual level, including: expected utility theory, the axioms of this theory, distinguishing between preference-based measures of value and health-related quality of life outcomes, measuring utility using the standard gamble, the time trade-off, and the visual analog scale, and understanding the limitations of these measures. Materials include an instructor's note, videos, companion slides, a glossary,…
Decision Analysis | Injuries/Accidents | Preferences/Values | Health Outcomes | Economics/Finance | Health/Medicine | College | Graduate | Doctoral