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Estimating relative risks in multicenter studies with a small number of centers — which methods to use? A simulation study
BACKGROUND: Analyses of multicenter studies often need to account for center clustering to ensure valid inference. For binary outcomes, it is particularly challenging to properly adjust for center when the number of centers or total sample size is small, or when there are few events per center. Our...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5667460/ https://www.ncbi.nlm.nih.gov/pubmed/29096682 http://dx.doi.org/10.1186/s13063-017-2248-1 |