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c Adjusted odds ratio derived from a multiple logistic regression model.
Odds ratios for attainment of seroprotection were recorded for studies reporting results from a multiple logistic regression model.
Adjusted odds ratios were generated from a multiple logistic regression model that included all reported predictor variables.
β-Coefficients derived from a multiple logistic regression model predicting the presence of undiagnosed type 2 diabetes were used to calculate the New Chinese Diabetes Risk Score.
The PREMM model was developed from a multiple logistic regression model in a cohort of 898 individuals, and subsequently was validated in 1016 patients.
The treatment effects for the dichotomous outcomes were assessed using OR estimates from a multiple logistic regression model with adjustment for factors as listed in the table footnotes or additional medication or cover use.
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Significant factors obtained from univariate analysis were entered into a multiple logistic regression model for control of potential confounding effects.
Variables with P < 0.2 from the univariate analysis were entered into a multiple logistic regression model.
Variables with p<0.2 from the univariate model were placed in a multiple logistic regression model using stepwise selection.
First, we fitted a multiple logistic regression model built from the original SAPS II score and the additional variables.
A multiple logistic regression model was developed in group A for DIC diagnosis.
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