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ANOVA was used to ascertain differences between groups.
Initially, to ascertain differences between groups in ESA, an intention to treat (ITT) mixed model analysis was conducted using SPSS v17.0.0 with the MIXED procedure.
The characteristics of patients who absconded across the study window did not appear to change appreciably as the policy was implemented; however, patients with multiple absconsions were observed to populate more than one study window, making it difficult to ascertain differences between groups of patients who absconded prior to, versus following, policy implementation.
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Results were assessed with the Kaplan-Meier method for censored data, and the log-rank test was used to ascertain differences between device groups.
For some variables there was limited power to ascertain differences between the groups, particularly in terms of prescriptions for uncommon conditions such as heart disease or diabetes.
Chi-square tests for categorical variables (Triage category) and t-tests for the continuous variable (age) were applied to ascertain differences between the two groups.
Blinding success was assessed by Fisher's exact test for garlic versus placebo, and Kruskal Wallis test to ascertain differences between the garlic groups.
The independent Student t test was used to ascertain differences between the lean and obese groups.
We used the Wilcoxon-Mann-Whitney-test to ascertain differences between the IC- and IV-inoculated groups.
The chi-square statistical test was used to ascertain differences between proportions.
Chi-square tests were performed to ascertain differences between migrant and comparative children.
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