Sentence examples for proportion between groups from inspiring English sources

Figure  1c shows individual OTUs with a significantly different relative proportion between groups.

Differences in proportion between groups were tested by the χ test.

The Binary Logistic Regression Model was used to calculate the OR and 95 % CI of clustering proportion between groups with different socio-demographic and clinical features.

Binary logistic regression model was used for univariate and multivariate analysis to qualify and quantify the difference in clustering proportion between groups of subjects with different socio-demographic and clinical characteristics.

A significant correlation was observed between nominally significant DMRs from the non-corrected CHARM data and overlapping loci with FDR significant cell-type specific DNA methylation differences from our FACS based experiments above (R = 0.33, p = 2.2 × 10−16) (Fig. 4B), suggesting a portion of the identified DMRs are resultant from the differences in neuronal proportion between groups.

We observed that the larger the difference in neuronal proportion between groups, the CETS model derived neuronal profile identifies significantly higher overlap with neuron specific group associations as compared with the bulk derived data (R = 0.48, p = 4.7 × 10−7) (Fig. 3C).

Proportions between groups were compared by a two-tailed Fisher exact test.

Chi-2 analyses were used to establish significant differences in proportions between groups.

The original plan was to compare proportions between groups as for the titre outcomes, but since the number of events was unexpectedly small, simple descriptions were used instead.

The χ test was used to compare proportions between groups.

Chi-square statistics were used in comparing proportions between groups.