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In addition we will use multivariate logistic regression analysis to adjust for potential confounding.
For the analytic technique, we use multivariate logistic regression models to analyze the binary dependent variable.
To study the characteristics associated with these outcome measures (objective 3), we will use multivariate logistic regression analyses.
First, the small sample size limited our ability to use multivariate logistic regression models to determine other predictive factors for replanning.
To examine factors associated with new AP drug use, multivariate logistic regression modelling was performed, with independent variables assessed in LTC residents during the baseline assessment used as potential correlates of new AP drug use.
For testing our hypotheses and further explorative analyses, controlling for potential confounders, we will use multivariate logistic regression models to investigate the effect of social networks characteristics on professional performance of practice nurses and patients' self-management and health outcomes.
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Data were analyzed using multivariate logistic regression models.
Risk factors for fatality were identified using multivariate logistic regression.
Independent factors associated with SAE were identified using multivariate logistic regression analysis.
Predictive factors of WWLS were identified using multivariate logistic regression analysis.
We used multivariate logistic regression to identify independent risk factors for infections in the ICU.
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