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Repeated measures were treated with analysis of variance (ANOVA) using SPSS software to establish statistical significance.
Outcome measures were treated as continuous measures.
Hypertension was treated as a dichotomous variable, and the two BP measures were treated as continuous variables.
These ECG measures were treated as repeated outcome measures, and each individual contributed 48 outcome data points on each of the three ventricular repolarization variables.
Based on the graphic results, where linear effects were observed, the age and cohort measures were treated as linear functions in the regression models.
We recognized certain behaviours (e.g. drug use activity) could confound this association so these measures were treated as time-updated variables based on each participant's semi-annual follow up visit.
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Each of the task performance measures was treated with a repeated measures ANOVA testing the within-subjects effect of workspace condition.
Each of the three renal measures was treated as a dichotomized variable.
Therefore, the ST-height measures are treated as repeated outcome measures, and each individual contributed 48 data points for each of the ten leads.
Each measure was treated as an independent event.
The utility measure is treated as a constant although it is dependent upon the cooccurring intensity pairs of and.
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