Open AccessRegression dilution bias: Tools for correction methods and sample size calculation
Author(s) -
Lars Berglund
Publication year - 2012
Publication title -
upsala journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 41
eISSN - 2000-1967
pISSN - 0300-9734
DOI - 10.3109/03009734.2012.668143
Subject(s) - statistics , reliability (semiconductor) , observational error , linear regression , regression , regression analysis , econometrics , regression dilution , simple linear regression , medicine , mathematics , polynomial regression , quantum mechanics , power (physics) , physics
Random errors in measurement of a risk factor will introduce downward bias of an estimated association to a disease or a disease marker. This phenomenon is called regression dilution bias. A bias correction may be made with data from a validity study or a reliability study.
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