Sentence examples for models with backward from inspiring English sources

Variables with a significance level <0.10 by univariate analysis were included in log binomial models with backward elimination.

Cox regression models with backward conditional method were constructed using identical clinical data and imaging data derived from each of the segmentation methods.

Final logistic regression models with backward elimination identified independent household correlates of household S. aureus colonization and household skin infection, separately.

Multivariable and conditional logistic regression models with backward or step-wise selection procedure were used to generate the parsimonious models with all independent factors (adjusted multivariable P value≤0.05).

Thus, separate multivariable models (with backward elimination) were constructed for male and female participants.

Cox proportional hazard models with backward selection of miRNAs from the C14MC cluster.

The proposed techniques were compared with the existing approaches of the Fine Gray subdistribution hazard model, Fine Gray regression model with backward elimination, and random survival forest for competing risks.

Independent variables with a p value <0.10 in univariable analysis were entered into the multivariable model, with backward elimination of variables displaying a p value greater than 0.05.

Zarandi et al. (2011) integrated (Selim and Ozkarahan 2008)'s model with backward flows and they assumed fuzziness for objectives targets and also crispness for parameters.

Table 3 demonstrates the result of the final logistic regression model with backward stepwise approach.

Multivariate analysis of 1-year mortality was performed using a logistic regression model with backward elimination.