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01-02-2014

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

Authors: Peter M. Fayers, Ron D. Hays

Published in: Quality of Life Research | Issue 1/2014

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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Title: Don’t middle your MIDs: regression to the mean shrinks estimates of minimally important differences
Authors: Peter M. Fayers
Ron D. Hays
Publication date: 01-02-2014
Publisher: Springer International Publishing
Published in: Quality of Life Research / Issue 1/2014
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0443-4

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

Abstract

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Abstract

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