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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: | Texto |
| Lenguaje: | English |
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BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1910596/ https://www.ncbi.nlm.nih.gov/pubmed/17578572 http://dx.doi.org/10.1186/1742-5573-4-4 |