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Adjusting for Regression Effect in Uncontrolled Studies
Author(s) -
Naranjo Joshua D.,
McKean Joseph W.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00178.x
Subject(s) - regression , statistics , multiplicative function , regression analysis , treatment effect , mathematics , medicine , econometrics , computer science , mathematical analysis , traditional medicine
Summary. When clinical studies require enrolled patients to have abnormal assays, the natural tendency of repeat measurements to regress toward the mean can lead to a false assessment of effectiveness of therapy. We propose a method to more accurately estimate the true effect of therapy by adjusting for a component of improvement that can be attributed to regression effect. The model we use allows for a combination of additive and/or multiplicative effects of the therapy.