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Response rates were estimated with corresponding 95% confidence intervals (CIs) by the binomial method.
To determine whether this increase is due to high false positives or due to the improved inference, we investigated the difference between callings provided by the binomial method and the Bis-class methods further by several different approaches.
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Ninety-five perconfidencedence intervals (CIs) for proportions of susceptibility were calculated by using the binomial method.
Usefulness and safety were described by calculating 95% confidence intervals using the binomial method.
In the last section, we provide numerical result applying the binomial method.
We performed extensive simulation to compare the performance of Bis-Class to the binomial method.
The prevalences and their 95% confidence intervals (CI) were calculated by the exact binomial method and the differences between proportions were analysed using the Chi2 test.
The 95% confidence intervals (CI) of sensitivity, specificity, PPV and NPV were computed by the exact binomial method.
Data is changes in percent of genes called methylated by the negative binomial method at a false discovery rate of 10%.
We will estimate the prevalence of depressive symptoms (defined as a GDS-15 score of 6 or more) with 95% confidence intervals computed by the exact binomial method.
Ninety-five perconfidencedence intervals (95% CI) were calculated by using the exact binomial method (15 ).
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