Stepwise Regression So, here you are, with a plethora of potential independent variables arrayed before you. There is no substitute for the use of good judgment in choosing which to include in your ...

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

Information for evaluating the statistical significance of stepwise regression models developed with a forward selection procedure is presented. Cumulative distributions of the adjusted coefficient of ...

Subsequently, the team constructed metabolite content conversion models for 101 key metabolites using stepwise multiple regression, achieving high accuracy (R² > 0.9).

Multivariable stepwise regression models revealed the following independent predictors of the severity of depressive symptoms: reduced serum TT, reduced serum DHEAS, advanced NYHA class, elevated ...