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Consequences of ignoring clustering in linear regression
BACKGROUND: Clustering of observations is a common phenomenon in epidemiological and clinical research. Previous studies have highlighted the importance of using multilevel analysis to account for such clustering, but in practice, methods ignoring clustering are often employed. We used simulated dat...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8265092/ https://ncbi.nlm.nih.gov/pubmed/34233609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01333-7 |
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