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High-dimensional randomization-based inference capitalizing on classical design and modern computing
A common complication that can arise with analyses of high-dimensional data is the repeated use of hypothesis tests. A second complication, especially with small samples, is the reliance on asymptotic p-values. Our proposed approach for addressing both complications uses a scientifically motivated s...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Japan
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849196/ https://www.ncbi.nlm.nih.gov/pubmed/36685337 http://dx.doi.org/10.1007/s41237-022-00183-x |