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. 2014 Feb;23(1):1-4.
doi: 10.1007/s11136-013-0443-4. Epub 2013 May 31.

Don't middle your MIDs: regression to the mean shrinks estimates of minimally important differences

Peter M Fayers  1 , Ron D Hays
Affiliations

Don't middle your MIDs: regression to the mean shrinks estimates of minimally important differences

Peter M Fayers et al. Qual Life Res. 2014 Feb.

Abstract

Minimal important differences (MIDs) for patient-reported outcomes (PROs) are often estimated by selecting a clinical variable to serve as an anchor. Then, differences in the clinical anchor regarded as clinically meaningful or important can be used to estimate the corresponding value of the PRO. Although these MID values are sometimes estimated by regression techniques, we show that this is a biased procedure and should not be used; alternative methods are proposed.

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