Eliciting Patients' Revealed Preferences: An Inverse Markov Decision Process Approach

Eliciting Patients' Revealed Preferences: An Inverse Markov Decision Process Approach

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Article ID: iaor20108838
Volume: 7
Issue: 4
Start Page Number: 358
End Page Number: 365
Publication Date: Dec 2010
Journal: Decision Analysis
Authors: , , , ,
Keywords: decision theory
Abstract:

Estimating patient preferences over various health states is an important problem in health care decision modeling. Direct approaches, which involve asking patients various abstract questions, have significant drawbacks. We propose a new approach that infers patient preferences based on observed decisions via inverse optimization techniques. We illustrate our methods on the timing of a living‐donor liver transplant.

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