Sentence examples for modelling with stepwise from inspiring English sources

Multivariate analysis MGLH (Multivariate General Linear Hypothesis) and General Linear Modelling, with stepwise exclusion of dependent variables, were used to test the influence of age, sex, and anxiolytic medication (diazepam equivalents) on the a priori hypothesized correlation.

We performed automated linear modelling with forward stepwise model selection using as target variable each of the outcome indicators Barthel Index, MMSE or multimorbidity (as number of chronic conditions).

The relationship between Tc and Tm were statistically modeled with the stepwise linear regression.

generalized linear model with stepwise feature selection.

Methods include Multiple Linear regression, Generalized Linear Model with Stepwise Feature Selection, Partial Least Squares regression, Lasso regression, and Support Vector Machines Recursive Feature Elimination.

Risk factors associated with ICU mortality were analyzed using Cox proportional hazards regression model with stepwise selection procedure.

One variant is designed to perform raytracing in models with stepwise distributions of interval velocity while the other is better suited for continuous velocity models.

In order to determine the best fitting model for each country, we fitted regression models with stepwise in-/exclusion of the variables according to specific model parameters (probability of F for entry = 0.05 and of 0.1 for removal).

Fig. 2 Prognostic model with stepwise inclusion of consecutive hemodynamic variables: mean arterial pressure (MAP) in mmHg, heart rate (HR) in bpm, (arterial) lactate in mmol/L and Microvascular Flow Index (MFI) in AU.

However, a model with stepwise inclusion of mean arterial pressure < 65 mmHg, HR ≥ 90 bpm, lactate > 2 mmol/L and MFI < 2.6 did not detect significant differences in ICU mortality.

For multivariate analyses a logistic regression model with stepwise forward variable selection was employed.