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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4684932/ https://www.ncbi.nlm.nih.gov/pubmed/26685825 http://dx.doi.org/10.1186/s12868-015-0228-5 |