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Baseline data were analysed using descriptive statistics, including means and standard deviations and frequencies and percentages.
Baseline data were analysed using traditional analysis and to test whether they adhered to the expectations of the Rasch model.
Baseline data were analysed from adult participants of the Mano A Mano cohort, a large ongoing research study that began in 2001.
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A combination of this baseline data was analysed to better understand client characteristics and improve local decision-making to better tailor the service to client needs and has been published elsewhere (Munro et al. 2017, under review).
Baseline data was analysed using multiple linear regression.
Baseline and outcome data were analysed using SPSS for Windows version 19.0.
Baseline and annual survey data were analysed by comparing the groups' data as a whole (pooled data) and by comparing the results by year (2007 2011).
Baseline demographic and clinical data were analysed for differences between intervention and waitlist patients using t-tests, Wilcoxon rank sum tests and chi-square tests as appropriate.
Data were analysed to assess baseline characteristics, including: gender, age, OAD use, comorbidities, healthcare utilisation/costs, index drug copay and short-term disability for 3 months prior to insulin initiation for all patients.
Treatment side effects (diary card data) were analysed by Cochran Mantel–Haenszel test (no baseline data were available for adjustment).
Data were analysed between groups using ANCOVA with respective baseline measure as a covariate.
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