… confidence interval for each replicate was evaluated to test inclusion of the true underlying
treatment effect: The calculated confidence interval … calculated confidence interval included …

… For binary outcomes, relative risks (RRs) are the preferred measure of relative effect and, in
… When confidence intervals (CIs) around the relative effect include no difference, one may …

… CPMs for two binary outcomes of interest. The IPD … binary outcomes, Y 1 and Y 2 , which
we simulate according to established methods. Specifically, we generated the binary outcomes …

… Thus model (2) appears as a more appropriate model than model (1), and leads to a slightly
wider confidence interval for the pooled event-risk, and similarly a wider prediction interval (…

… studies for which effectiveness is measured as a binary outcome. Specifically, Fieller’s
Theorem was used to calculate confidence intervals for ratios of the two random variables of …

… article is that the confidence intervals in each individual study … approaches to calculating a
confidence interval there are a … ), the primary outcome (binary), method of confidence interval …

… confidence interval derived from the asymptotic likelihood ratio test (CILR) with those of the
confidence interval … , I use the following fourfold table to summarize the possible outcomes: …

… While Wald-based confidence intervals may be constructed from the asymptotic standard …
, thereby not giving a wide enough confidence interval. These problems may be addressed by …

… Furthermore, even without bias or sensitivity problems, if the MLE is on the parameter space
boundary then it may be unclear how to compute confidence intervals and other inferential …

… The log-binomial regression and Poisson with sandwich estimator gave similar estimates
and confidence intervals for adjusted relative risk. Whereas the confidence interval obtained …