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Data were assessed and analyzed using Grounded Theory.
Study data were assessed and extracted independently by two reviewers.
Categorical data were assessed and depicted by frequencies (count) and proportions (percentages).
Data were assessed and scored using the Stata® statistical package Version 11.0 (Statacorp, Texas, USA).
The following data were assessed and recorded at each follow-up visit: weight, blood pressure, number of SMBG results outside the target values, insulin dose, and ketonuria.
Microarray data were assessed and determined to be of high quality); a high degree of reproducibility was observed based on inter- and intra-group variation of the arrays, with all pairwise correlation coefficients between samples >0.98.
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Consistency between the two sets of data was assessed and interpreted by considering the N2 diffusional limitations resulting from the micropore network connectivity.
This process should be undertaken using a weight of evidence approach where the quality of the data is assessed and the evidence is weighed in a formal and transparent sense.
The extent of missing data was assessed, and patterns of missingness were explored in order to ensure whether data were missing at random.
10 Potential autocorrelation in the event data was assessed and allowed for by introducing as explanatory variables residuals lagged by 1 and 2 days in all models.
Changes in their content knowledge and confidence in the use of data were assessed before and after the activity using multiple-choice and open-ended questions.
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