… and confidence interval coverage of several methods for analysing binary outcomes from …
properties, including close to nominal levels of confidence interval coverage, when a simple …

… controlled trials with a binary outcome. Defined as the … to prevent an adverse outcome
in one additional patient. As … fixed follow-up times and binary outcomes I recommend the …

… 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 for relative risk substantially overstates statistical significance in typical
applications when outcomes are … [2], logistic regression for binary outcome data produces an …

… If centre has been stratified on, then we recommend it be included in the analysis to ensure
correct p-values and confidence intervals, and to avoid a loss in power. If centre has not …

… 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 …

… We present methods for binomial regression when the outcome is determined using the …
Methods are illustrated and compared with Bayesian ordinary binary regression using data from …

… of the continuous outcome measure and then use statistical techniques based on binary data,
with the … This analysis produces tighter confidence intervals, and now suggests statistical …

… 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 …

… Furthermore, we can obtain credible intervals for these parameters from the … confidence
intervals have been derived for 2 [47], the comparative ease with which a credible interval may …