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For binary outcomes, differences between groups were quantified using relative risks obtained using Poisson regression.
Differences between groups were quantified by hazard ratios and ninety-five perconfidencedence intervals.
Differences between groups were quantified by calculating hazard ratios using Cox's regression models (tables 4 and 5).
In the model, the differences between groups were quantified with odds ratios and 95% confidence intervals (CI).
The results of multivariate analysis were adjusted for age and sex and differences between groups were quantified by hazard ratios and ninety-five perconfidencedence intervals.
In the logistic regression and cumulative logit models, the differences between groups were quantified with odds ratios (ORs) and their 95% confidence intervals (CIs).
Similar(54)
Similarity between groups was quantified by the Jensen Shannon divergence (D JS ) between the regularized third-order models of the groups (Lin, 1991).
Aedeagus shape differences between taxonomic groups were quantified by calculating Mahalanobis distances between taxa using the principal component scores from the seven effective principal components from outline shape analysis in Richmond et al. [ 20].
Differences in ORs between case groups were quantified using case-only logistic regression models.
The differences between the groups were quantified using the calculated odds ratios and 95% confidence intervals, with the significance level set at p<0.05.
The reads were counted, and the differential expression between experimental groups was quantified by using edgeR (Fold change > 2 and P value < 0.05).
More suggestions(17)
between groups were ascertained
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between variables were quantified
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between databases were quantified
between poles were quantified
between groups were derived
between groups were undertaken
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