Given there was no difference in A1C between groups, we hypothesize that reduced glycemic variability may have contributed to this difference.
Using the recategorized groups, we hypothesize that the High-Mechanistic group will use more complex and accurate mathematical strategies than the Low-Mechanistic group, because they are more likely to consider the mechanistic relationship between the robot's motors and wheels and, therefore, discover the proportional relationships between motor rotations, wheel rotations, and distance traveled.
If fluid balance was different between the groups we could hypothesize that there was a higher chance of constipation as well as abdominal compartment syndrome and this would impact in the effectiveness of our protocol.
By choosing LCLs from subjects who represent extreme outliers for the calcification score distribution, we hypothesized that between-group differences that are relevant for CAD may be detected.
Since we hardly see promoters where the ALKBH3 binding is in an intermediate state between group I and group II promoters, we hypothesize that these transitions – if they take place – are rare.
Additionally, the large age range of participants could have introduced variability that reduced the effect sizes for some structures we hypothesized would differ between groups (e.g., the amygdala), but for which we did not find group differences.
The questionnaire showed good sensitivity with dimensions discriminating well between groups hypothesized to differ in experience of childbirth.
Specifically, scaling success was achieved in all four sub-scales and the instrument discriminated well between groups hypothesized to differ in experience of childbirth.
The questionnaire was sensitive to differences between groups of fathers hypothesized to differ on important socio demographic or clinical variables.
Second, we hypothesized that observed posttreatment between-group differences in these outcomes would be sustained over 8- and 12-month follow-up.
