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Harvard School of Public Health

 

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Detailed Course Information

 

Summer 2014
Jun 25, 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

Restrictions:
Must be assigned to one of the following Cohorts:     
      Enrolled in summer PCE

Prerequisites:
RDS280 or RDS286

General Requirements:
Course or Test: RDS 280
Required Courses: 1
May not be taken concurrently.  )
or
Course or Test: RDS 286
Required Courses: 1
May be taken concurrently. )


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