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Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives
BACKGROUND: In neuroscience, experimental designs in which multiple measurements are collected in the same research object or treatment facility are common. Such designs result in clustered or nested data. When clusters include measurements from different experimental conditions, both the mean of th...
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| Опубликовано в: : | BMC Neurosci |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4684932/ https://ncbi.nlm.nih.gov/pubmed/26685825 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12868-015-0228-5 |
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