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...
| Publicado en: | BMC Medical Research Methodology Vol. 21; no. 1; pp. 1 - 8 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
4/3/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |