title: A comparison of tests for restricted orderings in the three-class case.
abstract: A variety of methods for comparing three distributions have been proposed in the literature. These methods assess the same null hypothesis of equal distributions but differ in the alternative hypothesis they consider. The alternative hypothesis can be that measurements from the three classes are distributed according to unequal distributions or that measurements between the three classes follow a specific monotone ordering, an inverse-U-shaped (umbrella) ordering, or a U-shaped (tree) ordering. This paper compares these tests with respect to power and test size under different simulation scenarios. In addition, the methods are illustrated in two applications generated by different research questions with data from three classes suggesting monotone and umbrella orders. Additionally, proposals for the appropriate application of these tests are provided.
authors.affiliation: Division of Biostatistics, University of Southern California, Keck School of Medicine 440 E. Huntington Dr, Suite 400, Arcadia, CA 91006, U.S.A. talonzo@childrensoncologygroup.org
authors.forename: Todd A
authors.initials: TA
authors.lastname: Alonzo
authors.forename: Christos T
authors.initials: CT
authors.lastname: Nakas
authors.forename: Constantin T
authors.initials: CT
authors.lastname: Yiannoutsos
authors.forename: Sherri
authors.initials: S
authors.lastname: Bucher
mesh_terms: D019540:Area Under Curve; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D015233:Models, Statistical; D018709:Statistics, Nonparametric; D016896:Treatment Outcome