title: Nonparametric test of stochastic ordering for multiple longitudinal measures.
abstract: We present a nonparametric approach that tests whether multiple longitudinal measures tend in the same direction over time. It is not required that each measure have the same number of serial observations, or that the observations be evenly spaced. The test and related estimators of group differences are based on the multivariate rank test of Wei and Lachin (1) and multivariate Mann-Whitney shift estimators of Thall and Lachin (2) and Lachin (3). An example is given using a subset of exercise data from a clinical trial of vesnarinone in congestive heart failure.
authors.affiliation: Department of Statistics, George Washington University, Rockville, Maryland 20852, USA.
authors.forename: W F
authors.initials: WF
authors.lastname: Rosenberger
authors.forename: J M
authors.initials: JM
authors.lastname: Lachin
authors.forename: R P
authors.initials: RP
authors.lastname: Bain
mesh_terms: D002316:Cardiotonic Agents / Q000627:therapeutic use; D004311:Double-Blind Method; D006333:Heart Failure / Q000188:drug therapy / Q000503:physiopathology; D006801:Humans; D008137:Longitudinal Studies; D015337:Multicenter Studies as Topic; D015999:Multivariate Analysis; D011719:Pyrazines; D011804:Quinolines / Q000627:therapeutic use; D016032:Randomized Controlled Trials as Topic; D012107:Research Design; D018709:Statistics, Nonparametric; D013269:Stochastic Processes
chemical_list: D002316:Cardiotonic Agents; D011719:Pyrazines; D011804:Quinolines; C041667:vesnarinone