Sentence examples for multiple logistic models from inspiring English sources

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.

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].

All factors with a 0.15 significance level in the univariate model were included in multiple logistic models.

Four multiple logistic models were then fitted using R2BayesX package in software R using child anaemia status as a response.

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

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.

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.