Glossary: Introduction to Decision Analysis
2022
This glossary of terms supports the teaching pack on Introduction to Decision Analysis, in which students are introduced to decision analysis in the context of public health, the core elements of a decision analysis (e.g., objectives, alternatives, probabilities, and outcomes), and the basic steps of a decision analysis. Many of the terms relate to basic probability, an important prerequisite for students pursuing a course in decision analysis. In addition to the glossary, materials include an instructor's note, videos, companion slides, an annotated bibliography, and sample exercises.
Glossary of Terms
- Addition rule
- Collectively exhaustive
- Conditional probability
- Decision science
- Expected value
- Heuristics
- Independent
- Joint probability
- Management science
- Multiplication rule
- Mutually exclusive
- Normative theory
- Odds
- Odds against
- Odds favoring
- Operations research
- Probability
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.
Related Files:
Source:
Glossary. Teaching Pack: Introduction to Decision Analysis. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022. http://repository.chds.hsph.harvard.edu/repository/2484