… We propose two approaches to constructing confidence intervals for τ based on the …
confidence intervals and proposes an optimal procedure to construct a confidence interval …

… confidence interval for the proportion, based on clustered binary data, by assessing the
performance of the 15 intervals … average interval length using the pre-assigned confidence levels …

… Clustered binary data are commonly encountered in many medical research … binary
outcomes from each cluster. Asymptotic methods are traditionally used for confidence interval …

… Section 2 of this paper discusses one existing confidence interval method for … confidence
intervals for clustered binary data. In Section 2 we also propose a new confidence interval for …

… This target was also considered sufficient to let us measure binary outcomes to a confidence
interval (CI) width of 0.08 to 0.14, depending on the event rate, based on Wilson’s CI …

… estimators and its confidence intervals (CI) suggested in the literature for binary data. Studies
… a very useful tool for researchers to design cluster randomized trials with binary outcome. …

… in terms of convergence, absolute bias and coverage of 95 % confidence intervals for RD. …
We did not consider fixed effects models since for binary outcomes these methods require …

… confidence intervals performed better than did other intervals… and interval estimators of the
indirect effect for a binary outcome … Also, the interval estimates or confidence intervals of the …

… For binary outcomes, mediation analysis methods have been developed using logistic
regression when the binary outcome … A confidence interval for the NIE can be constructed with or …

… , generate narrower confidence intervals than binary outcomes. … binary outcomes showed
similar results to those reported in this article: almost 50% of meta-analysis on binary outcomes …