Sentence examples for multiple treatment groups from inspiring English sources

Statistical significance was determined by two-way ANOVA followed by Bonferroni post-hoc analysis for comparison among multiple treatment groups.

Some general results are given on optimal design for multiple treatment groups.

In the case of multiple treatment groups, the data were analyzed using one-way analysis of variance (ANOVA) followed by Tukey post hoc test.

The significance of differences between multiple treatment groups was compared by one-way analysis of variance (ANOVA) followed by Tukey's post hoc t-test.

Statistical significance was assessed by using the analysis of variance (ANOVA) followed by the Student-Newman-Keuls test for comparisons between multiple treatment groups.

All statistical comparisons were performed on the raw data, but in several figures we depict results as percent changes over baseline values to aid comparison across multiple treatment groups.

There was no indication of a dose-response effect of treatment on psychiatric adverse events in the only prophylaxis study with multiple dose treatment groups (WV15673/WV15697).

In a small randomised trial by Doft and Blankenship, these did occur more in the first few weeks after single-session PRP, but the effects were transient, and no long-term difference between single and multiple session treatment groups was found.

This study found no significant difference in postoperative pain between the single-visit and multiple-visit treatment groups.

The primary outcome of this research was to evaluate the prevalence of pain at one day and seven days after obturation among the single-visit and multiple-visit treatment groups.

Since the differences in signal intensity and distribution (with multiple antibodies on multiple sections) between treatment groups were highly reproducible and clearly biologically relevant, no scoring system or statistical evaluation was developed for this analysis.