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Type I error control for cluster randomized trials under varying small sample structures
BACKGROUND: Linear mixed models (LMM) are a common approach to analyzing data from cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests or likelihood ratio tests (LRT), but both approaches may give incorrect Type I error rates in common finite sample settings. Th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019504/ https://www.ncbi.nlm.nih.gov/pubmed/33812367 http://dx.doi.org/10.1186/s12874-021-01236-7 |