Nonparametric multiple test procedures with data-driven order of hypotheses and with weighted hypotheses

DOI10.1016/j.jspi.2003.07.021zbMath1067.62045OpenAlexW2031417141MaRDI QIDQ1888881

Ralf Paschke, Jürgen Läuter, Siegfried Kropf, Knut Krohn, Markus Eszlinger

Publication date: 29 November 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.07.021

zbMATH Keywords

Order statisticsNonparametric testsOrdered hypothesesRank statisticsMultiple tests

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

Genome-wide significance levels and weighted hypothesis testing ⋮ FDR- and FWE-controlling methods using data-driven weights ⋮ k-FWER Control without p -value Adjustment, with Application to Detection of Genetic Determinants of Multiple Sclerosis in Italian Twins ⋮ Weighted methods controlling the multiplicity when the number of variables is much higher than the number of observations ⋮ FDR Control with Pseudo‐Gatekeeping Based on a Possibly Data Driven Order of the Hypotheses

Cites Work

• Multivariate tests based on left-spherically distributed linear scores
• New Tests for Data with an Inherent Structure
• Adaptive distribution-free tests
• Optimally weighted, fixed sequence and gatekeeper multiple testing procedures
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