Cargando…
The Effect of Cluster Size Variability on Statistical Power in Cluster-Randomized Trials
The frequency of cluster-randomized trials (CRTs) in peer-reviewed literature has increased exponentially over the past two decades. CRTs are a valuable tool for studying interventions that cannot be effectively implemented or randomized at the individual level. However, some aspects of the design a...
Autores principales: | Lauer, Stephen A., Kleinman, Ken P., Reich, Nicholas G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382318/ https://www.ncbi.nlm.nih.gov/pubmed/25830416 http://dx.doi.org/10.1371/journal.pone.0119074 |
Ejemplares similares
-
Calculating Power by Bootstrap, with an Application to Cluster-Randomized Trials
por: Kleinman, Ken, et al.
Publicado: (2017) -
Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies
por: Reich, Nicholas G., et al.
Publicado: (2012) -
Matching in cluster randomized trials using the Goldilocks Approach
por: Sturdevant, S. Gwynn, et al.
Publicado: (2021) -
Statistical power for cluster analysis
por: Dalmaijer, Edwin S., et al.
Publicado: (2022) -
Sample size and power calculations for open cohort longitudinal cluster randomized trials
por: Kasza, Jessica, et al.
Publicado: (2020)