Suggestions(1)
Exact(2)
Both study groups differed in a statistically significant manner in oxidative stress parameters (Table 2).
However, this study was hampered by small sample size and both study groups differed in composition (e.g. 5 set of twins in the intervention group as opposed to none in the control group).
Similar(58)
Patient demographic and disease-related characteristics at baseline between the two study groups differed only by age and ethnicity; these differences were controlled in all subsequent analyses (Table 1).
Different methodologies were used and the study groups differed on some demographic variables.
In contrast, the two LOV Study groups differed significantly with respect to more respiratory variables: PEEP levels, plateau pressures, I/E ratio, and the use of recruitment maneuvers.
Study groups differed by mortality risk, level of coma at admission, and other clinical characteristics, with the ethanol group appearing less severely ill.
Finally, multiple logistic regression was used to identify correlates of having working smoke alarms on all levels at the six-month follow-up, including covariates on which the two study groups differed, smoke alarm status at baseline, and variables that were significant in bivariate analyses (data not shown).
However, study groups differed appreciably in the focus and participant demands of sessions.
Despite the considerable range observed, we note that all study groups differed significantly from the reference group regarding ARGS concentrations.
Patient demographic and disease-related characteristics at baseline between the two study groups differed only by age and ethnicity.
After the intervention, however, the two study groups differed for several mRNAs with regard to how individuals had responded.
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