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Sample size determination in studies with matched pairs
1Division of Biostatistics, Columbia University School of Public Health, New York, NY 10032.
Abstract:
Two modifications are made in Schlesselman's procedure for determining the total number of pairs to be studied in a case-control study with matching. One is to take account of the use of the continuity correction in the McNemar test statistic, and the other is to incorporate a measure of the degree of association induced by the matching variables between a case's exposure status and that of his or her matched control. The result of both modifications is to increase the required number of pairs above the number produced by Schlesselman's procedure.
Insights
This study refines case-control study sample size calculations by incorporating continuity correction and matching variable association. These modifications increase the required number of matched pairs for robust statistical analysis.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Schlesselman's procedure is a standard method for sample size determination in matched case-control studies.
- Existing methods may not fully account for the nuances of matched data analysis.
Purpose of the Study:
- To modify Schlesselman's procedure for calculating the required number of pairs in matched case-control studies.
- To enhance sample size estimation by considering the continuity correction and the impact of matching variables.
Main Methods:
- The study modifies Schlesselman's procedure by incorporating the continuity correction used in the McNemar test statistic.
- A measure of the association between case and control exposure status, induced by matching variables, is integrated into the calculation.
Main Results:
- Both modifications lead to an increase in the calculated number of required pairs compared to Schlesselman's original procedure.
- The enhanced procedure provides a more accurate sample size estimate that accounts for specific features of matched case-control data.
Conclusions:
- The proposed modifications offer a more precise approach to sample size determination in matched case-control studies.
- Accurate sample size calculation is crucial for ensuring adequate statistical power and reliable results in epidemiological research.