title: Don't middle your MIDs: regression to the mean shrinks estimates of minimally important differences.
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.
authors.affiliation: Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK, P.Fayers@abdn.ac.uk.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Fayers
authors.forename: Ron D
authors.initials: RD
authors.lastname: Hays
mesh_terms: D015982:Bias; D035843:Biomedical Research / Q000379:methods; D003625:Data Collection / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011788:Quality of Life; D012044:Regression Analysis; D011795:Surveys and Questionnaires; D016896:Treatment Outcome; D014792:Visual Acuity / Q000502:physiology