Resources Repository
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Teaching PackPublication, Teaching Resource 2022Teaching Pack: Introduction to Decision Analysis
In this teaching pack on Introduction to Decision Analysis, students are provided a basic introduction to …
In this teaching pack on Introduction to Decision Analysis, students are provided a basic introduction to the field of decision analysis in the context of public health. After differentiating simple "relatively automatic" decisions from those that might require more systematic analysis, students are introduced to the core elements of a decision analysis (e.g., objectives, alternatives, probabilities, and outcomes), and the basic steps of a decision analysis. Materials include an instructor's note, videos, companion slides, a glossary,…
Preferences/Values | Cost-Effectiveness Analysis | Decision Analysis | Health/Medicine | Global | Decision Psychology | Probability/Bayes | College | Graduate | Critical Thinking/Analysis | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Extended Cost-Effectiveness Analysis
This teaching pack, curated by the Center for Health Decision Science, features videos introducing extended …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing extended cost-effectiveness analysis (ECEA) and detailing how it is conducted, and assembles ECEA publications and teaching materials. In addition to the videos, this teaching pack includes a glossary and tutorial. Videos include: Video 1. Introduction to ECEA (~2 min) Video 2. Quantifying Health Benefits (~4 min) Video 3. Private Expenditures Averted (~3 min) Video 4. Financial Risk Protection (~5 min) Video 5.…
Cost-Effectiveness Analysis | Costing Methods | Health/Medicine | Global | Priority Setting/Ethics | Health Outcomes | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Health/Medicine | Global | Infectious Diseases | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy