Proposes a distribution-based CI and modified MOVER for risk difference in unilateral/bilateral binary outcomes that better captures skewness in small samples than asymptotic methods.
Approximate is better than “exact” for interval estimation of binomial proportions.The American Statistician, 52(2):119–126, 1998
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Confidence Intervals for the Risk Difference in Combined Unilateral and Bilateral Data Incorporating a Distribution-Based Approach
Proposes a distribution-based CI and modified MOVER for risk difference in unilateral/bilateral binary outcomes that better captures skewness in small samples than asymptotic methods.