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We will adjust for sociodemographic characteristics.
We will adjust for baseline test scores.
Furthermore, we will adjust for significant covariates.
We will adjust for an eventual imbalance at the baseline.
We will adjust for age in the analyses.
As this will be a non-randomised comparison, we will adjust for confounders.
Similar(9)
If there are any relevant differences between the groups, we will adjust data for these factors (i.e. age, gender, diabetes duration, level of education and family history regarding T2DM and CVD).
118 To account for baseline imbalances between intervention arms we will adjust all analyses for the baseline disease risks.
We will adjust multiple comparisons for mass significance [ 32].
We will adjust multiple comparisons for mass significance [ 38, 39].
We will adjust this model for patient and departmental characteristics.
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