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A Simulation Study of Relative Efficiency and Bias in the Nested Case-Control Study Design
Stephen Bertke1, Misty Hein1, Mary Schubauer-Berigan1
1Centers for Disease Control, National Institute of Occupational Safety and Health, Cincinnati, OH 45226, USA.
Sampling more controls per case in nested case-control studies improves efficiency and reduces bias. This is particularly beneficial with few cases, strong exposure-response relationships, and skewed exposure data.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Nested case-control studies are widely used for analyzing exposure-response associations in cohort data.
- Current practice often involves matching 4-5 controls per case.
- Previous research suggests potential efficiency gains with more controls.
Purpose of the Study:
- To investigate the impact of the number of cases, exposure-response strength, and exposure distribution skewness on bias and efficiency in nested case-control studies.
- To evaluate the conditional likelihood estimator's performance under varying conditions.
Main Methods:
- Simulation of cohort data.
- Analysis using conditional logistic regression.
Main Results:
- Relative efficiency decreased as exposure-response parameter and exposure distribution skewness increased.
- Bias away from the null increased under similar conditions.
- These effects were more pronounced with a smaller number of cases.
Conclusions:
- Sampling more than 4-5 controls per case can enhance relative efficiency and reduce bias.
- Optimal control sampling is crucial in scenarios with few cases, strong exposure-response relations, and skewed exposure variables.
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