… Top: example data showing mean risk factor and outcome with 95% confidence intervals in
each of the subgroups based on the IV. Bottom: prior (dashed line) and posterior (solid line) …

… The correction for misclassification in the cervicitis example yielded both substantial changes
to the odds ratio and a considerable widening of the confidence intervals. This illustrates …

… on binary outcomes, such as mortality and morbidity, we also restrict our attention to such
outcomes, … produced the largest odds ratio and the widest confidence interval. The narrowest …

… They demonstrated that the Peto odds ratio performs better in terms of mean percentage
error, but not the confidence interval width and mean square error when the treatment effect is …

… If so, ordinal outcomes may be more informative to patients… binary outcomes. We report a
comparison of the relative efficiencies of using and analyzing binary and polytomous outcomes …

… are followed up to see whether an outcome of interest occurs’ [5]. … power and gave confidence
intervals with more appropriate … Misclassification in a prospective binary disease outcome …

… a continuous outcome and a binary outcome for each subject. Continuous outcomes were
… reflect those observed for constructed 95% confidence intervals (which was to be expected …

… Standard errors are higher, confidence intervals are wider, and P values indicate fewer “…
variation in any analysis can lead to incorrect confidence intervals and P values. In studies of IVF…

… outcome measures for binary data, which we also use in the simulation study. The outcome
… Furthermore, the estimated confidence intervals in the fixed effects models are always over…

… included might be regarded as unlikely outcomes for a cluster randomized trial, we believe
that the relationships quantified here are likely to hold for other types of binary data. It is to be …