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Bibliography: Building Decision Trees

2022

This annotated bibliography supports the teaching pack on Building Decision Trees, in which 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. In addition to the bibliography, materials include an instructor's note, videos, companion slides, a glossary, and sample exercises.

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.

 

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Bibliography. Teaching Pack: Building Decision Trees. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022.  https://repository.chds.hsph.harvard.edu/repository/2501