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Sample size requirements for case-control study designs
1Division of Clinical Epidemiology, Royal Victoria Hospital, Montreal, Quebec, Canada. michael.edwardes@clinepi.mcgill.ca
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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