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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.
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.
The normal distribution of the data was assessed and differences between the means were analyzed with the unpaired Student's t-test when investigating the effect of genotype on one variable.
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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.
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.
In this study, whole genomes of human mitochondria (mtGenome) were sequenced on the Personal Genome Machine (PGMTM) (Life Technologies, San Francisco, CA), the out data were assessed, and the results were compared with data previously generated on the MiSeqTM (Illumina, San Diego, CA).
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