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Type | Working Paper |
Scope | Discipline-based scholarship |
Title | Efficient computation of adjusted p-values for resampling-based stepdown multiple testing |
Organization Unit | |
Authors |
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Language |
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Institution | University of Zurich |
Series Name | Working paper series / Department of Economics |
Number | 219 |
ISSN | 1664-7041 |
Number of Pages | 6 |
Date | 2016 |
Abstract Text | There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing procedures proposed in Romano and Wolf (2005a,b). The original papers only describe how to carry out multiple testing at a fixed significance level. Computing adjusted p-values instead in an efficient manner is not entirely trivial. Therefore, this paper fills an apparent gap by detailing such an algorithm. |
Official URL | http://www.econ.uzh.ch/static/wp/econwp219.pdf |
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PDF File | Download from ZORA |
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Keywords | Adjusted p-values, multiple testing, resampling, stepdown procedure, p-Wert, Resampling, gndAlgorithmus |