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Subsequently, a hybrid-modeling approach was adopted by applying stepwise regression to select input variables of greater importance.
Also reliability of ANN and meaningfulness of input variables are tested via applying stepwise regression method to the data used in designing ANN.
The melting behaviour of pure copolymers and their blends were investigated using differential scanning calorimetry (DSC) after applying stepwise isothermal crystallisation ('thermal fractionation').
The significance of each variable was determined by applying stepwise regression.
The statistical software SPSS was used for applying stepwise regression analysis in this research.
After applying Stepwise GLM on the CRF FC subsets, four FC variables were observed to be highly associated with Cancer in SSc patients.
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In another, it was applied stepwise in increments of 50°С.
To further pinpoint the specific alleles contributing to MS susceptibility, we applied stepwise logistic regression on an allelic level.
For each model, we applied stepwise model selection to identify the subset of traits that best predicted each behavioural variable.
To detect differential functioning (D F) items we used the so-called "free baseline designated anchor approach" (for applied examples, see [72], [73]), which is supposed to have a lower false discovery rate than the more commonly applied stepwise forward procedure (eg [70]) and is most similar to well tested item response theory based methods [71].
It has been proposed to apply stepwise logistic regression and include only factors that exhibit a significant main effect in the final model [17]; however, interactive effects among SNPs with statistically undetectable or weak main effects are not likely to be detected, and higher order interaction models have many degrees of freedom and sparse observations.
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