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We obtained predictors of MSQoL by multiple regression analyses.
The diagnostic ability of OCT as a marker of increased ICP (> 25 cmH2O) was explored by multiple regression analyses and receiver operating characteristic (ROC) curves.
By multiple regression analyses, bi-quadratic relationships between the rupture values, the strain energy density and the measured fracture density in the Chang 71 and 72 members of different episodes have been built and the empirical formulas are shown in Table 3.
By multiple regression analyses relationships were assessed between subsequent conditional BMI SDS changes and components of the metabolic syndrome (MetS), skinfold thickness and hsCRP at young adulthood.
We tested these hypotheses by multiple regression analyses in the form of partial correlations, controlling for the covariates of age, gender, hypertension, baseline volume and ICV.
Associations between hippocampal volumes obtained by manual or automated techniques and relevant cognitive measures were assessed by multiple regression analyses, entering all variables simultaneously.
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The acquired data were inspected and analyzed by performing multiple regression analyses so as to test the influence of each predictor on villagers' engagement in those two types of PEBs.
By using multiple regression analyses, we can correct for possible confounders.
The association of climate and socioeconomic factors with the fluctuation of VTEC cases was estimated by using multiple regression analyses (Table).
The 37 selected predictors of maternal emotional distress (besides of the two dummy variables indicating missing values) were examined by using multiple regression analyses.
Among the RB hereditary/non-hereditary survivors, the QoL was compared and predictors for QoL were identified by linear multiple regression analyses.
More suggestions(11)
by simple regression analyses
by multiple repeat analyses
by multiple endpoint analyses
by multiple imputation analyses
by multivariate regression analyses
by logistic regression analyses
by multiple regression equations
by multivariable regression analyses
by multiple correspondence analyses
by multiple sensitivity analyses
by multiple regression models
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