… confidence interval, which helps place the study findings in perspective. The more such
findings are reported, the more the community of researchers in each field will build experience …

… However, this can only be done if the HR is the metric used in all the original studies and
the standard error (or confidence interval) is clearly specified in each study, or if the survival …

… The coverage rates of confidence intervals were also generally acceptable. The average of
… The coverage rates of the \(95\%\) confidence intervals were lower than the nominal level, …

… confidence interval … confidence interval for the null treatment effect for all methods for a
cluster size of 10. Values where the lower confidence limit is above zero or the upper confidence …

… 95% confidence interval estimators by calculating the proportion of times confidence intervals
… For the exact and approximate approaches, 95% confidence intervals were constructed by …

… , and the width of the confidence intervals. The coverage probability is the … confidence interval
includes the specified population parameter. If the coverage rate is too high (ie, the interval …

… For all models, we calculated p-values (with ) and corresponding 95% confidence intervals
for the estimated odds ratios, according to: where is the percentile of the standardized normal …

… corticosteroids, the length of the confidence intervals associated with the approximate ORs
was … Bootstrap confidence intervals for the adjusted approximate ORs exhibited excessively …

… outcome misclassification is absent. Although approaches to account for bias in crude effect
estimates due to use of a misclassified binary outcome … Confidence intervals from the naive …

… For paired data as shown in Table 1, without loss of generality, denote the binary outcome
… in section 2.3, if we treat the n observed binary data as the test results X of positive units and …