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ESSI-PI represents the size of misestimating the standardized mean difference between two comparison groups if a SIM is chosen.
Our current understanding is that when there were differences in both LOS and admission FIM scores between two comparison groups with THR, the group with lower admission FIM score had longer LOS [ 12].
The power calculations showed this sample size to be sufficient to show a prevalence difference of at least 25% between two comparison groups (assuming 40% of refugees had a psychiatric disorder [ 12], with a power of 90% to a significance level of 5%.
To study the impact on group differences in composite means, we first computed standardized effect sizes (Cohen's d) between comparison groups in composite scales in two ways: One (ALLDiff) by using all items of a scale (and thus implicitly assuming strict MI), and one by using a reduced scale with only strictly invariant items between two comparison groups (REDDiff).
Although Sastry et al. [ 15] calculate power and sample size in multilevel logistic regression models for their survey of children, families and communities in Los Angeles, they used a test of proportions between two comparison groups to calculate preliminary total sample size for a given baseline proportion and minimum detectable differences.
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For this reason, the analysis looked at the mean difference in performance between CMC and non-CMC areas rather than comparing trends between the two comparison groups.
There was no significant difference in the rate of pre-eclampsia between the two comparison groups (Table 2).
No difference in APACHE II scores was noted between the two comparison groups during 14 days of follow up.
There were no statistically significant differences in the payer mix between the two comparison groups for all three cancer cohorts (Table 2).
There was no statistically significant difference in death or myocardial infarction between the three comparison groups.
To aid comparability between the four comparison groups, models were adjusted for the same covariates.
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