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Associations between migraine frequency and RLS prevalence were investigated using multivariate linear and logistic regression.
Relationships were analyzed using multivariate linear and logistic regression models.
The association between physical activity and depressive symptoms at baseline was evaluated using multivariate linear and logistic regression models.
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We used multivariate linear and logistic regression.
The authors used multivariate linear and count regressions to examine associations between receipt of vaccinations or treatment and proximity to a franchise health clinic, adjusting for individual, household and clinic attributes as well as region fixed effects.
We used multivariate linear and logistic regression analysis to compare hemoglobin values and the proportion of anemic children across HIV status groups and adjusted for birthweight in these models.
Using multivariate linear regression and multilevel models, predictors for IST and change in ST levels were examined.
Baseline child characteristics may differ in PICU and ENT groups; therefore, we will adjust for potential confounding using multivariate linear regression and, in anticipation of this, have added an additional 20% to our sample size.
The hypotheses will be tested using multivariate linear regression and, due to the cluster randomisation, multi-level analyses.
This limitation can be mitigated by using multivariate linear, non-linear and polynomial regression analyses of RMR input parameters.
First, using multivariate linear regression analysis and adjusting for age and T2D, we assessed whether ethnicity, gender, smoking and skin reflectance were associated with skin AF.
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