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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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Detalles Bibliográficos
Autores principales: Konietschke, Frank, Schwab, Karima, Pauly, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008424/
https://www.ncbi.nlm.nih.gov/pubmed/33228480
http://dx.doi.org/10.1177/0962280220970228