Correlated binary data is obtained in many fields of biomedical research. When constructing a confidence interval for the proportion of interest, asymptotic confidence intervals have already been developed. However, such asymptotic confidence intervals are unreliable in small samples. To improve the performance of asymptotic confidence intervals in small samples, we obtain the Edgeworth expansion of the distribution of the studentized mean of beta-binomial random variables. Then, we propose new asymptotic confidence intervals by correcting the skewness in the Edgeworth expansion in one direct and two indirect ways. New confidence intervals are compared with the existing confidence intervals in simulation studies.
Bibliographical noteFunding Information:
This work was supported by grant No. R01-2006-000-101650-2006 from the Basic Research Program of the Korea Science & Engineering Foundation.
All Science Journal Classification (ASJC) codes
- Statistics and Probability