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German Medical Science
Article . 2010
License: CC BY NC ND
Data sources: German Medical Science
https://dx.doi.org/10.3205/mib...
Article . 2010
Data sources: Datacite
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A SAS/IML algorithm for exact nonparametric paired tests

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2010Embargo end date: 15 Dec 2010 English Publisher:German Medical Science GMS Publishing HouseJournal:GMS Medizinische Informatik, Biometrie und Epidemiologie, volume 6
Authors: Leuchs, AK; Neuhäuser, M;

doi: 10.3205/mibe000104

A SAS/IML algorithm for exact nonparametric paired tests

Abstract

A common problem in practice is the comparison of two dependent samples. One possibility to evaluate such data is to compute the difference for each pair and apply a one-sample test. In this paper we discuss three nonparametric tests for the comparison of paired samples (i.e. one-sample tests). We present a macro written in SAS/IML to perform these tests as exact permutation tests. The macro is based on a shift-algorithm presented by Munzel & Brunner (2002) [ref:8].

GMS Medizinische Informatik, Biometrie und Epidemiologie; 6(1):Doc04; ISSN 1860-9171

Keywords

ddc: 610, 610 Medical sciences; Medicine

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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