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Power for tests of interaction: effect of raising the Type I error rate
BACKGROUND: Power for assessing interactions during data analysis is often poor in epidemiologic studies. This is because epidemiologic studies are frequently powered primarily to assess main effects only. In light of this, some investigators raise the Type I error rate, thereby increasing power, wh...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1910596/ https://ncbi.nlm.nih.gov/pubmed/17578572 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1742-5573-4-4 |
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