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Published on: February 2, 2020
Approaches and recommendations for estimating minimally important differences for health-related quality of life
Ron D Hays1, Sepideh S Farivar, Honghu Liu
1School of Public Health, Division of Health Services, UCLA, Los Angeles, California 90095-1736, USA. drhays@ucla.edu
Abstract:
We describe currently available approaches for estimating the minimally important difference (MID) and their associated strengths and weaknesses. Specifically, we show that anchor-based methods should be the primary method of estimating the MID because of the limitations of distribution-based methods. In addition, we provide recommendations for estimating the MID in future research.
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