What question did this study set out to answer?

The aim is to extend Levin's measure of attributable risk to account for confounding and present reliable estimates and confidence intervals.

Estimating Attributable Risk From Case-Control Studies1

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Randomized trial estimates attributable risk from case-control studies, suggesting improved statistical methods for analysis.

The aim is to extend Levin's measure of attributable risk to account for confounding and present reliable estimates and confidence intervals.
Developed maximum likelihood estimates for attributable risk and confidence intervals applicable to matched and stratified case-control studies.
Illustrated the statistical methods using data on breast cancer and bladder cancer.
Conducted computer simulations to analyze the behavior of estimates when sample sizes are small relative to confounding strata.
Demonstrated improved estimates of attributable risk that account for confounding factors.
Showed confidence intervals that are robust even in small sample sizes relative to strata.
Provided practical applications in understanding the relationship between factors of womanhood and breast cancer, and cigarette smoking and bladder cancer.

Alice S. Whittemore (1983) studied this question.

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