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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...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8019504/ https://ncbi.nlm.nih.gov/pubmed/33812367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01236-7 |
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