There were no significant differences between the beverage groups, so all samples were introduced into one regression analysis (Figure 2).
Because all the predictors were evaluated simultaneously, there was only one regression analysis for the boys and one for the girls.
Assuming that the expression of either the agonists or the antagonists would differentiate two patient populations, we performed a one-by-one regression analysis for each of the 10 agonists with either miR-221 or miR-222 in each cancer (Additional file 13: Table S12).
One proposed solution to this issue is to "map" disease‐specific measures onto generic ones using regression analysis to establish the relationship between preference-based indices and the dimension or item scores of disease‐specific measures, thereby obtaining estimation models that can be used to calculate QALYs [ 24, 25].
However, these factors explain only about one-third of the variability in recovery from aphasia, with lesion volume contributing little to the variance in one multiple regression analysis on 22 patients (Lazar et al., 2008).
Results of one logistic regression analysis, with all covariates entered simultaneously.
One logistic regression analysis contrasted the risk cluster (18 districts) against the other remaining 78 districts, testing the effects of socioeconomic-cultural variables.
Finally, we performed one multivariate regression analysis for each of the five cognitive subtests (Similarities, Digit-Symbol Coding, Logical Memory, Verbal Paired Associates I, and Verbal Paired Associates II) including as independent variables those variables that were significant in the simple regression analyses.
For the second hypothesis (including the frequency of blood glucose measurement and the control variables frequency of problematic hypoglycemic events, the child's age, duration of diabetes, insulin regimen and comorbid diseases), we performed one multiple regression analysis.
The sample size and the fact that some of the variables mutually excluded each other (marital status and satisfaction with the marital relationship) limited the possibility of including all explanatory variables in one multiple regression analysis.
