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Logistic regression analyses were used to test for differences in RTW status between interventions adjusted for gender and age.
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Mantel-Haenszel statistic for testing independence of clinical failure with interventions, adjusting for site was used.
For each fall outcome, we present the hazard ratios and 95% confidence intervals for the intervention, adjusted for centre.
Ordinary least squares and Poisson regressions were used to evaluate treatment effect of the intervention, adjusted for covariates.
Where estimates by group, or the variance for the per-group change, were not reported, direct estimates of the mean difference (between control and intervention adjusted for baseline values) were used together with estimates of the variance.
Main outcome measures Total numbers of oral antibiotic items dispensed for all causes per 1000 practice patients in the year after the intervention, adjusted for the previous year's dispensing.
Studies were only included if they reported, or such measures could be derived from other reported measures, the difference in body weight or energy intake between the control and intervention adjusted for baseline measures.
Logistic regression analysis was used to estimate the odds ratio (OR) of normalized BP (<140/90 mmHg) after the intervention adjusted for any unbalanced baseline characteristics between the study groups.
We used generalized mixed models to test additive effect of genotype on baseline log-transformed traits and, to model change under metformin action, on the same traits after 1 year of intervention adjusted for the baseline value of the respective trait, age, sex, ethnicity, treatment arm, and waist circumference.
12 16 An ITS design was applied for estimating the differences in prevalence of methamphetamine use before and after the Meth Project intervention, adjusting for any underlying temporal trend.
Using GLMM regression, scores of the observational checklist at the shift level were compared pre- and post-intervention adjusting for clustering at the hospital level.
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