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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Detalles Bibliográficos
Autores principales: Nugent, Joshua R., Kleinman, Ken P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
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

Internet

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

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