Illustration of the Impact of Unmeasured Confounding Within an Economic Evaluation Based on Nonrandomized Data

Illustration of the Impact of Unmeasured Confounding Within an Economic Evaluation Based on Nonrandomized Data

Background: Propensity score (PS) methods are frequently used within economic evaluations based on nonrandomized data to adjust for measured confounders, but many researchers omit the fact that they cannot adjust for unmeasured confounders. Objective: To illustrate how confounding due to unmeasured...

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Bibliographic Details
Main Authors: Jason R. Guertin MSc, PhD, James M. Bowen BScPhm, MSc, Guy De Rose BSc, MD, Daria J. O’Reilly MSc, PhD, Jean-Eric Tarride MA, PhD
Format: Article
Language:English
Published: SAGE Publishing 2017-03-01
Series:MDM Policy & Practice
Online Access:https://doi.org/10.1177/2381468317697711

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