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

Authors:
Zeynep Erkin;Matthew D. Bailey;Lisa M. Maillart;Andrew J. Schaefer;Mark S. Roberts
Affiliations:
Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261;School of Management, Bucknell University, Lewisburg, Pennsylvania 17837;Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261;Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261;Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
Venue:
Decision Analysis
Year:
2010

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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.