title: Multiple regression analysis of differential response to treatment in randomized controlled clinical trials.
abstract: A multiple regression model is presented for the analysis of the components of individual change in clinical trials. Of primary interest is the condition where treatment effects vary according to patient baseline level. The model differentiates the average effects of treatment from baseline-dependent treatment effects, as well as identifying regression toward the mean and temporal effects. This model is applied in the analysis of data from a clinical trial of nutritional supplementation.
authors.affiliation: Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Illinois, Urbana 61801.
authors.forename: R M
authors.initials: RM
authors.lastname: Weigel
authors.forename: M
authors.initials: M
authors.lastname: Narvaez
mesh_terms: D002118:Calcium / Q000097:blood; D002136:Calcium, Dietary / Q000627:therapeutic use; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D006973:Hypertension / Q000517:prevention & control; D015233:Models, Statistical; D011247:Pregnancy; D011249:Pregnancy Complications, Cardiovascular / Q000517:prevention & control; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D012044:Regression Analysis
chemical_list: D002136:Calcium, Dietary; D002118:Calcium