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Sample size requirements for case-control study designs
BACKGROUND: Published formulas for case-control designs provide sample sizes required to determine that a given disease-exposure odds ratio is significantly different from one, adjusting for a potential confounder and possible interaction. RESULTS: The formulas are extended from one control per case...
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2001
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC61037/ https://www.ncbi.nlm.nih.gov/pubmed/11747473 http://dx.doi.org/10.1186/1471-2288-1-11 |
Sumario: | BACKGROUND: Published formulas for case-control designs provide sample sizes required to determine that a given disease-exposure odds ratio is significantly different from one, adjusting for a potential confounder and possible interaction. RESULTS: The formulas are extended from one control per case to F controls per case and adjusted for a potential multi-category confounder in unmatched or matched designs. Interactive FORTRAN programs are described which compute the formulas. The effect of potential disease-exposure-confounder interaction may be explored. CONCLUSIONS: Software is now available for computing adjusted sample sizes for case-control designs. |
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