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Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R
Mixed-effects models are a powerful tool for modeling fixed and random effects simultaneously, but do not offer a feasible analytic solution for estimating the probability that a test correctly rejects the null hypothesis. Being able to estimate this probability, however, is critical for sample size...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613146/ https://www.ncbi.nlm.nih.gov/pubmed/33954914 http://dx.doi.org/10.3758/s13428-021-01546-0 |