… What is not known in the literature is the impact of omitted covariates on confidence interval
… confidence interval estimation and study power in an uncorrelated binary outcome setting. …

… 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 …

… other random effects methods for constructing confidence intervals based on 𝜏 2 often perform
… provided valid pooled effect measures and confidence intervals in this study.11 Another …

… the standard confidence interval estimation … confidence interval based on the profile variance
and reparameterization. Extensive simulation studies show that the new confidence interval …

… fitted to binary data [16], so profile likelihood based intervals are not presented when applying
individual data methods. We can however construct 95 per cent confidence intervals for …

… to review the common methods for estimating adjusted RR and its confidence interval. … a
binary outcome (Y) that is associated with a binary treatment/exposure variable (T) and a binary …

… 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 …

… None of the existing methods examined in this study provide appropriate confidence intervals
for the ICC for a binary outcome variable in a small number of large clusters. However, the …