caa a22 4500 47576241X CHVBK 20180406123555.0 cr unu---uuuuu 170329e20000301xx s 000 0 eng 10.1023/A:1009606812545 doi (NATIONALLICENCE)springer-10.1023/A:1009606812545 Robust trend tests with application to toxicology [Elektronische Daten] [Markus Neuha¨user, Dirk Seidel, Ludwig Hothorn, Wolfgang Urfer] In most real data situations in the one-way design both the underlying distribution and the shape of the dose-response curve are a priori unknown. The power of a trend test strongly depends on both. However, tests which are routinely used to analyze toxicological assays must be robust. We use nonparametric tests with different scores—powerful for different distributions—and different contrasts—powerful for different shapes—and use the maximum of all test statistics as a new test statistic. Simulation results indicate that this maximum test, which is a nonparametric multiple contrast test, stabilizes the power for various shapes and distributions. The investigated tests are applied to the data of a toxicological assay. Kluwer Academic Publishers, 2000 maximum test nationallicence multiple contrast test nationallicence nonparametric model nationallicence toxicological assays nationallicence unknown dose-response shape nationallicence Neuha¨user Markus Department of Biometry, Byk Gulden Pharmaceuticals, Byk-Gulden-Str. 2, D-78467, Konstanz, Germany aut Seidel Dirk Research Unit Bioinformatics, University of Hannover, Herrenha¨user Str. 2, D-30419, Hannover, Germany aut Hothorn Ludwig Research Unit Bioinformatics, University of Hannover, Herrenha¨user Str. 2, D-30419, Hannover, Germany aut Urfer Wolfgang Department of Statistics, University of Dortmund, D-44221, Dortmund, Germany aut Environmental and Ecological Statistics Kluwer Academic Publishers 7/1(2000-03-01), 43-56 1352-8505 7:1<43 2000 7 10651 https://doi.org/10.1023/A:1009606812545 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009606812545 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Neuha¨user Markus Department of Biometry, Byk Gulden Pharmaceuticals, Byk-Gulden-Str. 2, D-78467, Konstanz, Germany aut NATIONALLICENCE 700 1- Seidel Dirk Research Unit Bioinformatics, University of Hannover, Herrenha¨user Str. 2, D-30419, Hannover, Germany aut NATIONALLICENCE 700 1- Hothorn Ludwig Research Unit Bioinformatics, University of Hannover, Herrenha¨user Str. 2, D-30419, Hannover, Germany aut NATIONALLICENCE 700 1- Urfer Wolfgang Department of Statistics, University of Dortmund, D-44221, Dortmund, Germany aut NATIONALLICENCE 773 0- Environmental and Ecological Statistics Kluwer Academic Publishers 7/1(2000-03-01), 43-56 1352-8505 7:1<43 2000 7 10651 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer