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Since multiple combinations of PEEP and VT were evaluated, a systematic analysis of the effect of ventilator parameters on the reliability of the technique could be performed using multivariate analysis, and was able to identify the PEEP level as an independent risk factor for measurement error.
Other secondary data analyses involving continuous outcomes will be performed using multivariate analysis.
An intension-to-treat analysis will be performed using multivariate statistics (group × time).
Exploratory modelling will be performed using multivariate regression analysis, using a number of specific techniques.
Assessment of causal associations will be performed using multivariate models including potential confounders along with the independent variables of interest.
Adjusted comparisons, controlling for variables that relate to the outcome will be performed using multivariate regression techniques.
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The evaluation of performance at the patient level was performed using multivariate Cox models accounting for the clustered structure of the data within institutions and considering the activity status of the patient as a proxy for survival.
The ability to predict mortality of different "scores" adjusted for IOT, RF and Shock was performed using multivariate logistic regressions.
Statistical evaluations for testing genetic effects were performed using multivariate logistic regression analysis with adjustments for gender and admixture proportions under multiplicative genetic model.
Assessment for the interaction between antibiotic use and diabetes and the percent agreements in the comparison of 16S rRNA gene-based and culture-based results were performed using multivariate logistic regression and the kappa-statistic, respectively in STATA 9 (StataCorp, USA).
Statistical analysis was performed using multivariate regression.
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