Sentence examples for omnibus differences from inspiring English sources

The ANOVA summary table 2A,B indicate that omnibus differences were found based on smoking history and findings for FVC; age, smoking history and findings for FEV1; smoking history alone for FEV1/FVC; and gender, age, smoking and findings for DLCO.

The ANOVA summary table 3A,B indicated that omnibus differences were found based on smoking history and radiographic findings for SGRQ total; smoking history for symptoms; smoking history and radiographic findings for activity; and smoking history, and radiographic findings for impacts.

Pairwise follow-ups were performed with the group who had sick leave due to PGP as reference, whenever significant omnibus group differences were found.

To evaluate the possible effects of confounding variables on the hypothesized effects, a series of follow-up linear regressions were performed in which the four-level aging and HIV grouping variable was used as a predictor of the neuropsychological test scores, alongside the demographic, psychiatric, and medical variables upon which omnibus group differences were observed (see Tables  1, 2).

Significant omnibus tests of differences were followed by appropriate post hoc analysis to identify specific group differences.

In summary, the HABC-Monitor showed good known-groups validity, indicated by significant omnibus and pairwise differences between MMSE and clinician-based diagnostic groups.

The χ(3) column provides the chi-square value (with 3 degrees of freedom) for the omnibus test for differences in difficulty across all four ethnic groups.

Since most of the data were not normally distributed (as determined by D'Agostino & Pearson omnibus normality test), differences between groups were tested with Wilcoxon signed rank test for paired data and Mann Whitney U test for unpaired data.

In summary, the HABC-Monitor showed good sensitivity to change indicated by significant omnibus and pairwise differences between the NPI reliable change groups on the HABC-M patient symptom scales.

In the adjusted model, those with postgraduate degrees had lower scores (mean difference [95% CI]: 2.9 [−5.8 - 0.0], p = 0.049) than those with secondary/technical qualifications, although the omnibus test for group differences for this variable was not statistically significant and there were no other significant group contrasts.

As with experiment 1, the first analysis run was an omnibus test for gaze differences between the Context and No-context groups across the viewing of the critical portion of the film clip (the same 1 minute and 49 seconds of the clip that both groups saw).