Sentence examples for multiple logistic modelling from inspiring English sources

Multiple logistic modelling was used to select which variables produced the 'best' predictive model of ward death.

Then we selected factors with p value ≤ 0.1 for inclusion in the multiple logistic model.

Backward multiple logistic models were used, including all the variables yielding p <.2 by univariate analysis and those considered clinically relevant.

LBW was analyzed using parallel multiple logistic models.

However, in multiple logistic modeling, glycemic control was a stronger predictor of neuropathy than age.

In a second step, the selected variables were then jointly evaluated in a multiple logistic model.

ANCOVA and multiple logistic models adjusted for baseline value, age, sex and intervention times were used.

However, neural network and multiple logistic models were run with dissimilar covariates [ 30].

Only rs1800925 remained significant in the multiple logistic model, suggesting that this represents the main effect.

Clinical variables that had significant associations with admission on logistic regression were entered into a mixed-effects multiple logistic model.

A multiple logistic model (PROC LOGISTIC in SAS), which considered treatment as main effect was used for the analysis.