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Therefore, we: (1) matched participants across trials including variables measured consistently; (2) matched participants within trials using all relevant variables.
Therefore, we (1) matched participants within trials using all relevant variables, (2) matched participants across trials including variables measured consistently and (3) repeated models with and without common support restrictions (see online supplementary material).
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Univariable logistic regression analysis was performed using all relevant socioeconomic variables and significant variables (p<0.05) were considered in the multivariable logistic regression analysis.
All relevant variables used for the analysis are described in the sections below.
To identify all possible variables associated with SCIM-score improvement, all relevant variables were analyzed using one-way ANOVA analyses (Table 1).
Summary statistics for all relevant variables were reported by using STATA version 10 (24 ).
Control is designed by using the relevant variables of master and slave systems.
However, the ANNs using theoretically relevant variables provide surprising improvements in comparison to the Box Cox model.
The model was built using clinically relevant variables associated with outcome by univariate logistic regression analysis (p < 0.2).
Group membership – TM versus CON - was regressed using the relevant variables (biochemical substances, NIRS data, and blood flow) at baseline.
Additionally, we calculated the Intubation Difficulty Scale using the relevant variables recorded in the registry to reflect the actual difficulties experienced during the intubation process.
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