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Between group differences over time in performance indicators of general physical condition and muscle strength will be evaluated using multilevel regression analysis for % change from baseline, and two factor (group × time) multivariate analysis of variance with repeated measures on the time factor for comparison of mean scores.
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Other differences between study groups and between subgroups of participants were evaluated using multilevel analysis (level 1: participant; level 2: nurse practitioner).
Differences over time between and within the study groups were evaluated using multilevel analysis (level 1 = time point; level 2 = participant; level 3 = nurse practitioner).
The difference between the two groups will be evaluated using a multilevel analysis, as the modified Katz-15 index scores are expected to cluster within GPs and RNs.
The association between the number of contacts with the GP in the past six months and propensity to seek care was evaluated using logistic multilevel analyses with adjustment for gender, age and presence of a chronic disease.
Prescribing variability was evaluated using a multilevel random intercept logistic model, with patients (level 1) clustered within practices (level 2), adjusting for patient characteristics known to be associated with antibiotic prescribing.
The association between the indicators of socioeconomic context and overweight/obesity was evaluated using odds ratios estimated by multilevel logistic regression.
were evaluated by using the multilevel mixed effect models, with patients nested in GPs and GPs nested in assessors (Table 2).
Variability of prescribing at the GP level was evaluated graphically and by using multilevel models.
Data will be analysed using multilevel multivariable logistic regression.
The data will be analysed using multilevel modelling techniques.
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