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As the adolescents are nested in schools we will use a multilevel regression approach with three levels to assess the effects of the intervention on behavior.
We also intend to use a multilevel regression analysis (using MLwin) which uses e.g. self-efficacy and attitudes at T1 as the dependent variables and group allocation and pre-intervention scores as independent variables.
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Participants were stratified according to HIV-1 disease progression groups using a multilevel regression analysis model.
CD4 T-cell slopes in individual participants were estimated using a multilevel regression analysis model that predicted CD4 trends over time.
Income as an outcome was modelled using a multilevel regression.
The contextual effect of workplace social capital on SBP was examined using a multilevel regression analysis with a random intercept.
To account for data clustering within GP practice, we used a multilevel regression model with the practice identifier entered as a random effect.
A sensitivity analysis was performed using a multilevel regression model of repeated measures on change from baseline HbA1c through week 52 [ 17].
We therefore used a multilevel regression model with crossed random effects for physiotherapists and physicians and with fixed effects for cantons [ 29, 30].
Since observations over time within each general practice can be treated as correlated, we used a multilevel regression model to account for clustering of observations within practices.
For our primary outcome of students' percentage time spent in MVPA, the effects of group allocation and student gender on percentages of time spent in MVPA will be examined using a multilevel regression model.
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