… 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 …

… Careful use of confidence intervals (CIs), however, can aid in … The authors reported a 95%
CI for the outcome of interest, … result) compared with a binary interpretation based on whether …

… which null outcome reporting articles provide such engagement and how confidence intervals
… the integrity of existent null outcome interpretation in articles that present such outcomes. …

… 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 …

… , 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 …

… with a continuous mediator, a binary outcome, and an XM … a binary mediator and binary
outcome is a goal of this paper. … models with a binary mediator and a binary outcome. We start …

… 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 …

… a continuous outcome and models with a binary outcome. … continuous mediator and a binary
outcome. However, there … a continuous outcome and models with a binary outcome. This …

… We propose a new method, the confidence interval (CI) method, to select valid instruments
… of the causal effect of an exposure on an outcome. Invalid instruments are such that they fail …

… 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 …