Sentence examples for using the binomial proportions from inspiring English sources

The values were compared with those of MCM-2 ICC alone using the binomial proportions test.

We computed significance values for the enrichment of each annotation category relative to intergenic SNPs, using the binomial proportion test (Table  1).

Confidence intervals for all proportions (using the binomial distribution) and a p-value for the comparison of estimated proportions between study groups (using the chi-squared test) separately for the 12 month and 6 month periods were calculated, adjusted for clustering by GP.

We calculated 95% confidence intervals around proportions using the binomial distribution.

We compared those standard errors to these generated from the sampling variability of a proportion using the binomial distributions and found that they were undistinguishable so we present the latter values based on the Haploview output only.

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).

In Table 2, we present different estimations of a pooled proportion (event rates) using the binomial model and the beta-binomial model.

Ninety-five perconfidencedence intervals (CI) of proportions were estimated by using the binomial exact method.

Ninety-five perconfidencedence intervals (CIs) for proportions of susceptibility were calculated by using the binomial method.

Single arm proportions were estimated with exact 95% CI using the binomial distribution.

Perhaps one of the main reasons for widespread use of the binomial proportion in this context can be attributed to a well-known and simple formula for the sample size determination of the binomial proportion [16].