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The developed model includes factors such as wind directions and elevation to demonstrate their influence in the spread patterns of the outbreaks at a landscape spatial scale.
The final context model includes factors that differ in the level of abstraction.
The model includes factors for treatment group (exenatide/glargine), site (Netherlands/Sweden/Finland), and baseline A1C stratum (≤8.5%/>8.5%), and the pretreatment variable of the corresponding dependent variable as a covariate.
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The table shows a model including factors that significantly influenced the knowledge of stroke/TIA risk factors, adjusted for age.
The QOL data over time will be analysed by means of a linear mixed effects model including factors for treatment, investigative sites, age groups, and baseline QOL scores.
Analyses of change in HbA1c from baseline to weeks 26 and 52 were based on a general linear model, including factors for treatment, country and baseline HbA1c stratum.
A multivariate Cox proportional hazard model (including factors positive at univariate analysis) was used to determine the independent predictors of AC recuperation and of AF reappearance.
The QOL data over time will be analyzed by means of a linear mixed effects model including factors for treatment, investigative sites, age groups, and baseline QOL scores.
The analysis was based on the ANCOVA model including factors for treatment group, country, and baseline A1C strata (<9 vs. ≥9%), and baseline PRO score as a covariate.
Analyses of change in other variables from baseline to weeks 26 and 52 were based on a general linear model, including factors for treatment, country, baseline HbA1c stratum and corresponding baseline value as a covariate.
Change in other variables during the open-label phase were analysed based on a general linear model, including factors for treatment, country and corresponding values of variables at week 26 as a covariate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com