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The complication rate difference between groups, considered a categorical variable, was analyzed by the two-tailed Fisher's exact test.
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To detect differences in the rate of adverse effects between groups, considering a 30% incidence in group A vs. a possible 10% incidence in group B with the same error levels, 62 patients were required without continuity correction, and 72 patients were required for Fisher's exact test.
Sample size estimation with a 95% confidence interval and statistical power of 80% showed that 247 children with at least six emerged surfaces at risk permitted to assess a ratio ≥ 2 between two groups considering an estimate of 2.5% (3 decayed surfaces in each 120 surfaces) in the control group [ 22].
There was no significant difference between groups considering other concomitant diseases (ischemic cardiopathy, diabetes mellitus, systemic arterial hypertension).
The minimum sample size for paired data was calculated using power analysis and 10 dogs per group were required to have 95% chance (with 5% risk) to detect a difference of 2.5 mm in the pain score between groups and considering a standard deviation of 4 mm in the population.
Utility scores are highly variable and a difference of 0.15 or more between groups would be considered a meaningful difference[ 10].
Differences between the groups considering new bone formation, soft tissues, and remaining BC were statistically evaluated.
There were no significant differences between the groups considering age and gender.
Independent T test was performed to determine differences between the groups considering MPDD condition.
While generally the majority of baseline variables with a significant difference between groups was considered, those with a high likelihood of interference were not selected.
Differences between groups were considered significant at a level of *p < 0.05.
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