Sentence examples for by a forward variable from inspiring English sources

Disease interactions were identified by a forward variable selection method.

The aim of our study was to develop a parsimonious model for predicting short-term all-cause mortality in patients with type 2 diabetes mellitus (T2DM) based on the use of a forward variable selection driven by the cNRI approach and to validate it in a second independent sample.

A forward variable selection yielded the same independent predictors.

Multivariate analysis was performed using a Cox model using a forward variable selection procedure.

First step: All patient-based parameters were considered in a logistic regression model by stepwise forward variable selection with the significance level p=0.09 for including a parameter in the model and p=0.10 for excluding a parameter.

All significant variables were then tested in a multivariable logistic regression analysis model by using forward variable selection to identify factors that had independent predictive value for 15-day mortality.

A new forward variable selection within a multivariate Cox regression was implemented.

Second step: All process and structure parameters were considered in the resulting model from step 1 by stepwise forward variable selection using the same significance levels for including and excluding.

Multivariate analysis was done using the Cox's proportional hazards regression model by forward variable selection that employed likelihood ratio criteria and included those covariates that showed significant associations with recurrence or survival by the univariate analysis.

The final selection was performed by a forward search, entering the variable giving the best increase in area under the ROC curve, step-by-step in the model, and stopping the search process when the increment in AUC became negligible.

The multivariate analysis was based on a logistic regression model with a conventional backward stepwise procedure validated by a forward stepwise procedure whereby variables were optimized by the Akaike information criteria, with P < 0.05.