Sentence examples for stepwise regression approach from inspiring English sources

A rotated principal component analysis (RPCA) of both groundwater and precipitation data from October through April is used to define locations where aquifer levels show the greatest variability, with a stepwise regression approach used to define areas where rainfall and groundwater levels show the strongest association.

Three levels of adaptivity are carried out in this paper: 1) the truncated dimensionality for ANOVA component functions, 2) the active dimension technique especially for second- and higher-order parameter interactions, and 3) the stepwise regression approach designed to retain only the most influential polynomials in the PDD expansion.

Thirdly, we are well aware of the potential pitfalls [74] of the stepwise regression approach taken in our analysis.

This was carried out following a stepwise regression approach.

We will also apply a stepwise regression approach to assess robustness of our modeling strategy.

Final adjusted models were obtained with a forward stepwise regression approach.

This method provides better prediction and coefficient estimates closer to the true values, than traditional stepwise regression approaches, which impose no regularisation.

Final models were obtained by a backward stepwise logistic regression approach, with P = 0.10 as the critical value for entering/excluding variables in the model.

Table 3B shows the final multivariate Cox predictive models for total and cardiovascular mortality, obtained by backward stepwise logistic regression approach (P≥0.10 to remove).

A stepwise backward regression approach was used for multivariate analysis.

A final statistical model was constructed with the stepwise logistic regression approach.