Application of AUC Regression for the Jonckheere Trend Test. (3rd April 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 2(2017)
• Page Start: 147
• Page End: 152
• Publication Date: 2017-04-03
• Subjects: DeLong's method -- Dose-response studies -- Mann-Whitney test statistic; Pharmacy -- Statistical methods -- Periodicals; Pharmaceutical biotechnology -- Statistical methods -- Periodicals; Biopharmaceutics -- Periodicals; Biometry -- Periodicals; Pharmacy -- Statistical methods; Periodicals; 615.190727
• DOI: 10.1080/19466315.2016.1265581
• Languages: English
• ISSNs: 1946-6315

Abstract

ABSTRACT: A semiparametric regression model for the area under the ROC curve (AUC) is adapted to test of hypotheses for which the Jonckheere trend test (JTS) is appropriate. Since a nonparametric estimate of the AUC and the JTS depend upon the Mann-Whitney statistic, one can exploit this fact to develop a JTS that accounts for discrete covariates. The new method is illustrated with a simulation study and using real and simulated data motivated by three clinical studies.