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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-...
Sparad:
| I publikationen: | Stat Methods Med Res |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
SAGE Publications
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8008424/ https://ncbi.nlm.nih.gov/pubmed/33228480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220970228 |
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