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A paired t test was employed in all single-subject analyses to compare stimulated and reference conditions.
The guidance on warfarin recommended a four-way, fully replicated crossover design in order to scale BE limits to the variability of the reference product and compare test and reference product within-subject variability [ 22].
Analysis of covariance (ANCOVA) was used for comparing patients and references and elucidating influence of demographic factors on change.
When comparing the test and reference products, dissolution profiles should be compared using a similarity factor (f2).
These scores were compared, and a reference score was decided for each of these images.
Table 2 compares the exposed and reference groups.
The adjusted values were then compared between exposed and reference groups.
Using the annotated gene information, our sequences were compared with human unigene and reference sequences.
Identify and compare a reference source in each media.
We decided to compare the reference and single channel designs using the same gene sets.
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