title: A comparison of tests for the k-sample, non-decreasing alternative.
abstract: This paper compares, by means of Monte Carlo simulations, three non-parametric tests to detect a non-decreasing trend in location parameters. The three tests are the Jonckheere-Terpstra test, the Cuzick test, and the Le test. We estimated power for each test across a wide variety of non-decreasing location parameters under four different types of distributions. None of the tests produced an overwhelmingly higher power over their two competitors.
authors.forename: J M
authors.initials: JM
authors.lastname: Mahrer
authors.forename: R C
authors.initials: RC
authors.lastname: Magel
mesh_terms: D000328:Adult; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D008297:Male; D009010:Monte Carlo Method; D011153:Population; D012680:Sensitivity and Specificity; D012907:Smoking / Q000097:blood; D018709:Statistics, Nonparametric; D013739:Testosterone / Q000097:blood
chemical_list: D013739:Testosterone