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Some important variables are selected by stepwise regression, and their relative effects on the degree of concentration are determined by standardized regression.
QSPPBR models were derived after variable selection by genetic algorithm followed by stepwise regression and tested by cross- and external validation.
The relationship between LFT results and disease categories was evaluated by stepwise regression and logistic discrimination, with adjustment for demographic and clinical factors.
These parameters were selected by stepwise regression, and multivariate logistic regression analyses were used to evaluate if low LMR was an independent factor for predicting mortality in patients with LC by an unadjusted model and adjusting for TP, ALB, TB and the MELD score.
Twentypercentt of high score variables of the final step were selected as the most significant variables and were further studied by stepwise regression and bivariate correlation analysis in which the selected variables using stepwise regression were investigated concerning their intercorrelations.
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The model parameters were determined by stepwise regression analysis and the model was used for batch reactor simulation.
By using stepwise regression and transformation of data, were found high correlation coefficients and substantial improvements in the variability of data from several schools.
Only two variables, age and SEMA3G, were selected by stepwise regression with a P-value less than 0.05 (P=0.009 and P=0.011, respectively) and remained considered as adding to each other's prognostic information.
The relationship between building energy demand indexes and the design and performance parameters of the CCHP is also explored by stepwise regression method to build regression models and determine the most effective parameters.
MELD, low LMR (LMR≤2.10, with high LMR>2.10 as a reference), TP, TB and ALB were selected by stepwise regression from the above parameters (p=0.025, <0.001, 0.048, 0.006, <0.001 and 0.021, respectively) with forward selection.
Statistical analysis was performed with univariate correlation and thereafter by stepwise regression analysis.
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