Literature DB >> 3638187

Kruskal-Wallis test: BASIC computer program to perform nonparametric one-way analysis of variance and multiple comparisons on ranks of several independent samples.

E Theodorsson-Norheim.   

Abstract

Multiple t tests at a fixed p level are frequently used to analyse biomedical data where analysis of variance followed by multiple comparisons or the adjustment of the p values according to Bonferroni would be more appropriate. The Kruskal-Wallis test is a nonparametric 'analysis of variance' which may be used to compare several independent samples. The present program is written in an elementary subset of BASIC and will perform Kruskal-Wallis test followed by multiple comparisons between the groups on practically any computer programmable in BASIC.

Mesh:

Year:  1986        PMID: 3638187     DOI: 10.1016/0169-2607(86)90081-7

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  51 in total

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2.  A SAS macro for testing differences among three or more independent groups using Kruskal-Wallis and Nemenyi tests.

Authors:  Yuewei Liu; Weihong Chen
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2012-01-27

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5.  Vitamin A deficiency and small intestinal secretory function in the rat.

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7.  Vitamin A deficiency and colonic electrogenic absorption and secretion in the rat.

Authors:  H C Nzegwu; R J Levin
Journal:  Gut       Date:  1992-06       Impact factor: 23.059

8.  Intestinal hypersecretion of the refed starved rat: a model for alimentary diarrhoea.

Authors:  A Young; R J Levin
Journal:  Gut       Date:  1992-08       Impact factor: 23.059

9.  Effect of pyrazole, cobalt and phenobarbital on mouse liver cytochrome P-450 2a-4/5 (Cyp2a-4/5) expression.

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Journal:  Biochem J       Date:  1992-08-15       Impact factor: 3.857

10.  Different methods for administering 17beta-estradiol to ovariectomized rats result in opposite effects on ischemic brain damage.

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Journal:  BMC Neurosci       Date:  2010-03-17       Impact factor: 3.288

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