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Non-Parametric Tests for Two Paired Samples Using Stata

Bibliographic Data

ID5968404
AuthorsOlga A Kharkova (0000-0002-3130-2920, Northern State Medical University), A M Grjibovski, Andrej М Grjibovski (0000-0002-5464-0498, Norwegian Institute of Public Health)
Year2014
Volume21
Issue12
Pages55-60
Publication date2014-12-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEkologiya Cheloveka (Human Ecology (JOURNAL)
Journal identifiersISSN: 1728-0869 • E-ISSN: 2949-1444
PublisherECO-Vector LLC (PUBLISHER • RU)
DOI10.17816/humeco17180
OpenAlexW2557169418
LanguageEN
References cited1

In this paper we describe the use of non-parametric tests for comparisons of two paired samples. The authors present examples of manual calculation of Wilcoxon’s signed rank test and sign test as well as the use of STATA for calculation of the abovementioned statistical tests. We present assumptions for use of non-parametric tests for paired samples and recommendations on how to present the results in scientific publications

Mann–Whitney U test · Nonparametric statistics · Parametric statistics · Sign test · Statistical analysis · Statistical hypothesis testing · Statistics · Wilcoxon signed-rank test · Advanced Statistical Modeling Techniques · Computer Science · Mathematics

  • Individual Comparisons by Ranking Methods

    Frank Wilcoxon•Biometrics Bulletin•1945

Citation velocityhistorical
Highly citedNo

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