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Application of the hierarchical bootstrap to multi-level data in neuroscience
A common feature in many neuroscience datasets is the presence of hierarchical data structures, most commonly recording the activity of multiple neurons in multiple animals across multiple trials. Accordingly, the measurements constituting the dataset are not independent, even though the traditional...
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| 出版年: | Neuron Behav Data Anal Theory |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7906290/ https://ncbi.nlm.nih.gov/pubmed/33644783 |
| タグ: |
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