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Harvard School of Public Health



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Summer 2014
Aug 21, 2017
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RDS 288 - Methods for Decision Making in Medicine
This course deals with intermediate-level topics in the field of medical decision making. Topics that will be addressed include decision models, evaluation of diagnostic tests, utility assessments, multi-attribute utility theory, Markov cohort models, microsimulation state-transition models, calibration and validation of models, probabilistic sensitivity analysis, value of information analysis, and behavioral decision making. The course will focus on the practical application of techniques and will include published examples and computer practicum. During the course you will have the opportunity to work on a decision problem which you select yourself.

This is not an introductory course. Prerequisites are in introductory course in Decision Analysis (RDS280 and RDS286 or faculty approval of an equivalent course) and knowledge of probability and statistics. The course has limited enrollment.

2.500 Credit hours
10.000 Lecture hours

Levels: Graduate - Non-Degree, Graduate
Schedule Types: Lecture

Health Policy & Management Department

Course Attributes:
Health Policy & Management, Risk & Decision Sciences

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Release: 8.5.4