Resources Repository
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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…
Mathematical Models | Environmental Health | Decision Analysis | Climate/Environment | Graduate | Doctoral | Professional -
ArticlePublication 2020Premature Deaths, Statistical Lives, and Years of Life
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of …
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of exposure to environmental hazards such as air pollution are often described by the estimated number of “premature deaths” and the economic value of an exposure reduction as the number of “statistical lives saved” multiplied by the “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data; it…
Health Outcomes | Environmental Health | Preferences/Values | Benefit-Cost Analysis | Policy/Regulation | College | Graduate | Critical Thinking/Analysis -
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 | Environmental Health | Probability/Bayes | Decision Analysis | Health/Medicine | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy