Small sample sizes: A big data problem in high-dimensional data analysis

In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-...

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Bibliographic Details
Published inStatistical methods in medical research Vol. 30; no. 3; pp. 687 - 701
Main Authors Konietschke, Frank, Schwab, Karima, Pauly, Markus
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.03.2021
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