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Factors that were not significant in either cohort using univariate logistic modelling were excluded from the multivariate analysis.
Independent variables that persistently showed non-significant relationships with the dependent variable (death) during modelling were excluded from the final model.
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Participants whose behavior was perfectly explained by any model were excluded from model comparisons, since the logarithm of 0 is undefined.
Studies designed to analyze an associative model were excluded.
Significant variables from univariate models not being significant in the big multiple model were excluded.
Variables that did not significantly contribute to the regression model were excluded from the final model.
Factors that did not add significantly to the model were excluded from further analyses.
Individuals with missing data for any of the covariates in the final model were excluded.
Patients with missing data for any of the variables in the final models were excluded from the models.
Variables that were not statistically significant in any of the models were excluded from the final multivariable models.
Parameters that were not significant anymore in the combined multivariable model were excluded from the final multivariable model.
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