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A multivariate model for LOS was able to predict 52% of the variance.
This strategy includes a multivariate model for identifying distinct slag inclusion types introduced during smelting and refining.
Two data transformations including the Johnson system of distribution and Box-Cox method were used in the construction of the multivariate model for the Jiangsu cohesive soils.
Values for OV and CC were also simulated using the multivariate model for use as stratification variables.
We performed a secondary analysis in which we replaced Pmax with ΔP in the multivariate model for in-hospital and ICU mortality.
We repeated the adjusted multivariate model for patients diagnosed in the HAART era (n = 630).
The final multivariate model for influenza versus non-influenza cases was used to build a predictive probability clinical diagnostic model.
To identify a final multivariate model for all of the PK parameters simultaneously, we used selection methods that depend on changes in the objective function value.
A multivariate model for presence of CRE was generated.
These findings persisted in the controlled multivariate model for compliance.
We will present the final statistical multivariate model for regaining walking ability.
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