… probabilities and/or the upper bound of their 95% confidence intervals above one for binary
outcome data. If the intention is inference about associations, this is generally not a major …

… , both for prediction models for binary outcomes as well as for time-to-event outcomes. The
c-statistic is … standard error or confidence interval. We can derive the logit c-statistic as follows …

… for binary outcomes, … confidence interval width for O/E to 0.7 (as found when using SE(ln(O/E)
= 0.175), then assuming O/E is 1, this corresponds to an expected confidence interval of …

… , but acknowledge that there is currently lack of theory to guarantee that this approach results
in proper confidence intervals. For estimands based on a binary outcome such as the RD …

… We present a large simulation study of binary outcomes comparing … We constructed 95%
confidence intervals using a t-distribution … For SW-CRTs, type-one error and confidence interval …

… we have a binary predictor X and a binary outcome Y, such … fbroc gives the same confidence
interval as the second strategy … of estimate and confidence interval as fbroc reports the AUC …

… confidence intervals (CIs) to be calculated for functions of summary estimates for multiple
correlated outcomes… an outcome to be eligible if it was a binary primary outcome and was …

… in intersectional estimation of binary outcomes in descriptive … For conventional regression
analyses with binary outcomes, … in estimates leading to wide confidence intervals and for bias …

… , for a binary outcome, an approximate 95% confidence interval for the overall outcome …
Assuming a simple exponential model, we can check the width of the confidence interval for the …

… Throughout this chapter we consider outcome data of five … This has the effect of making the
confidence intervals appear … of clinical trials with binary outcomes. Statistics in Medicine 2002; …