AUC Regression for Multiple Comparisons With the Jonckheere Trend Test. (3rd July 2017)

• Record Type: Journal Article
• Authors: Buros, Amy; Tubbs, Jack D.; van Zyl, Johanna S.
• Is Part Of: Statistics in biopharmaceutical research. Volume 9:Number 3(2017)
• Page Start: 279
• Page End: 285
• Publication Date: 2017-07-03
• Subjects: Dose-response study -- Mann-Whitney test -- Nonparametric tests -- Shirley's procedure; Pharmacy -- Statistical methods -- Periodicals; Pharmaceutical biotechnology -- Statistical methods -- Periodicals; Biopharmaceutics -- Periodicals; Biometry -- Periodicals; Pharmacy -- Statistical methods; Periodicals; 615.190727
• DOI: 10.1080/19466315.2017.1322135
• Languages: English
• ISSNs: 1946-6315

Abstract

ABSTRACT: A problem that often arises from dose-control studies is that of determining differences in the K > 2 treatment arms (increasing dose amounts) when adjusting for covariate effects. Recent results for a covariate adjusted Jonckhere Trend Test (JT) provides a useful means for modeling this problem. In this article, we present a multiple comparison for the K treatment arms that controls the family-wise error rate. The new method is compared with two existing rank-based nonparametric multiple comparison procedures using simulated data, an example from one of the existing methods, and several examples as motivated by problems found in clinical settings.