A Framework for Addressing Structural Uncertainty in Decision Models
Abstract
Decision analytic models used for health technology assessment are subject to uncertainties. These uncertainties can be quantified probabilistically, by placing distributions on model parameters and simulating from these to generate estimates of cost-effectiveness. However, many uncertain model choices, often termed structural assumptions, are usually only explored informally by presenting estimates of cost-effectiveness under alternative...
Paper Details
Title
A Framework for Addressing Structural Uncertainty in Decision Models
Published Date
May 20, 2011
Journal
Volume
31
Issue
4
Pages
662 - 674
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