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This chapter introduces
some useful tools of decision analysis and shows how they might
inspire interesting research possibilities. The goal is to empower
learners to use these tools in ways that will enhance their clinical,
research, or academic experience.
The tools are illustrated
through the use of case studies that explore common clinical problems,
each beginning with a patient's symptom. We examine:
Probability
Theory
Explores probability theory, Bayes' theorem, pre-test and post-test
probability, and the measurement of test performance.
Using
Expected Value Decision Making
For this key method for making rational choices, learn about
decision trees, assigning utility, and sensitivity analysis.
Factoring
Age and Co-morbidity into Decisions
As you age and get sicker, the stakes in making a health-related
decision get smaller. See why through learning about estimating
life expectancy, calculating the impact of co-morbid illness,
and using practical approaches to make decisions about medical
screening.
You can view this material
in any order, but users who are unfamiliar with tools of medical
decision making may benefit from exploring them in order.
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