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An appraisal of multivariable logistic models in the pulmonary and critical care literature.
Multivariable logistic models were used to determine association between hydrologic and soil-hydrologic variables and test status.
ORs for AEs were calculated with univariable and multivariable logistic models.
Numerical qualities were assessed for variables to be used in multivariable logistic models.
Adjusted odds ratios were estimated through multivariable logistic models.
Results from multivariable logistic models are both corroborative and revealing.
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All significant factors on univariate analysis were considered for inclusion in the multivariable logistic model.
Then, a multilevel multivariable logistic model was built with centers treated as random effect.
Both variables remained significant predictors in the multivariable logistic model (Table 3).
Correlates of insufficient PA were assessed by multivariable logistic modeling.
The multivariable logistic model was obtained using backward elimination.
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