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To determine the effect size for the primary outcome, we determined the difference between medians, and the 95% confidence intervals for those differences, using the binomial method.[18] All tests of differences or association were two-sided, and were considered significant if the P value was ≤ 0.05.
Usefulness and safety were described by calculating 95% confidence intervals using the binomial method.
Ninety-five perconfidencedence intervals (CIs) for proportions of susceptibility were calculated by using the binomial method.
Analysis of the feasibility aspects of the pilot study will focus on proportion of patients who were recruited and compliant using 95% CIs calculated using the binomial method.
17 For the description of the prevalence rates, the percentages and respective 95% confidence intervals were recorded using the binomial method.
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We then used the binomial method and Bis-Class for methylation calling.
CIs were calculated using the binomial exact method.
In all cases 95% confidence intervals were calculated using the binomial exact method.
Ninety-five perconfidencedence intervals (CI) of proportions were estimated by using the binomial exact method.
We calculated 95% confidence intervals (CIs) using the binomial approximation method.
The variances for the year of autopsy interval black and white standardized proportions were calculated using the binomial approximation method without corrections for finite populations (Cochran 1977).
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