title: Analysis of a within-subject design with covariates.
abstract: This paper deals with a method of analyzing incomplete data, forming a monotone pattern, from a within-subject design with baseline measurements. An assumption of multivariate normality with antedependence structure is made for both the baseline measurements and the response measurements. Adjusted means for the period-by-sequence cells and their dispersion matrix are obtained. Large sample tests are proposed for testing various hypotheses. A numerical example is given to illustrate the methodology.
authors.affiliation: Berlex Laboratories, Inc. Wayne, New Jersey 07470-7358, USA.
authors.forename: H I
authors.initials: HI
authors.lastname: Patel
mesh_terms: D006801:Humans; D008432:Mathematical Computing; D015233:Models, Statistical; D015999:Multivariate Analysis; D016032:Randomized Controlled Trials as Topic / Q000379:methods*