To adjust for potential confounding factors, multiple variable logistic regression analyses were performed and OR and Nagelkerkes R were calculated.
In the multiple variable model, the demographic factors of gender, age, marital status and level of education, as well as status of disease were considered as potential confounders.
Factor analysis is a multivariate technique that allows for the combination of multiple variables into few factors based on their degree of correlation, thereby reducing the number of elements included in the analysis.
Multiple logistic regression analyses incorporated multiple variables considered risk factors for respiratory distress syndrome and intraventricular hemorrhage.
The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC.
The adjusted multiple variables of prognostic factors (diagnostic period, diagnostic age, resident area, histological type diagnosis, therapeutic choice) were used in assessing the hazard ratio (HR) of their relationships, based on gender survival.
The study confirmed that the factors associated with EBF duration are multiple, variable, and dependent on the population being evaluated.
In exploratory analysis using multiple variables of study specific factors, we reassessed I as a magnitude of unexplained heterogeneity.
Table 2 shows the results of the univariate analysis of histological chorioamnionitis with or without a fetal inflammatory response and the association with multiple variables including potential risk factors and pregnancy outcomes.> -wrap-foot> Denominator for each column = N, numerator = n, % is the percentage of the numerator/denominator for each column.
Participants identified that, rather than any one single factor, multiple variables contributed to optimizing wheelchair use.
