… with their associated confidence intervals is often a more informative way of presenting
ecological data. A hypothetical data set is analysed and interpreted using both P-values and …

… coefficient that may be applied to binary outcome data arising in clusters of variable size.
Our … Simulation results indicate that confidence intervals based on the estimator proposed by …

… Here, we extend this work to calibration of confidence intervals (CIs). CIs require positive
controls, … the simulated outcomes based on the predicted probabilities of the outcome for each …

… Where patient-specific data on costs and health outcomes are available, it … confidence
intervals. Recent articles have focused on parametric methods for constructing confidence intervals…

… statistical engagement with the underlying data that give rise to null outcomes is a pathway
for … null outcome reporting articles provide such engagement and how confidence intervals …

… for clustered binary data compared to its competitive models. We consider the beta-binomial
model for clustered binary data in order to obtain the PL based confidence interval for π . …

… point estimates of the outcome variable in different groups, … CI around the outcome point
estimate for the test drug must … that 95% of the sample data lie within that interval. A CI is not …

… To interpret outcome measure data for clinical decision … the concepts of patient reported
outcome measures (PROMs), … to consider effect size, confidence intervals, and minimal clinically …

… The authors reported a 95% CI for the outcome of interest, the hazard ratio for structural …
with the data are not clinically relevant. Interval B spans values including those in interval A, as …

… This paper presents a procedure for the statistical analysis of cost-effectiveness data, with …
binary outcome. Specifically, Fieller’s Theorem was used to calculate confidence intervals for …