Repeated-measures analysis can also handle more complex, higher-order designs with within-subject components and multifactor between-subjects components. 1 A repeated-measures within-subjects design can be thought of as an extension of the paired t test that involves ≥3 assessments in the same experimental unit. Repeated-measures analysis encompasses a spectrum of applications, which in the simplest case is a generalization of the paired t test. This correlation necessitates a statistical analysis that appropriately accounts for the dependency among measurements within the same experimental unit, which results in a more precise and powerful statistical analysis. The dependency, or correlation, among responses measured in the same individual is the defining feature of a repeated-measures design. For example, it might be of interest to measure the diameter of each of several lesions within each person or animal in a study. Repeated measurements on the same experimental unit can also be taken at a point in time. The repeated assessments might be measured under different experimental conditions. The experimental unit could be a person or an animal, and repeated measurements might be taken serially in time, such as in weekly systolic blood pressures or monthly weights. Customer Service and Ordering InformationĪ repeated-measures design is one in which multiple, or repeated, measurements are made on each experimental unit.Stroke: Vascular and Interventional Neurology.Journal of the American Heart Association (JAHA).Circ: Cardiovascular Quality & Outcomes.
Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB).