Sentence examples for using the stepwise analysis from inspiring English sources
Multiple regression equations were formulated using the stepwise analysis method to predict travel speed, implement draught and fuel consumption for mouldboard ploughing on Serdang sandy clay loam soil.
Using the Stepwise Discriminant Analysis, the best predictors were evaluated from basic soil classification parameters.
The best QTL model was selected using the stepwise QTL analysis of Manichaikul et al. (2009) with model selection proceeding up to 10 QTL.
By using the stepwise regression analysis, we observed that regional cerebral glucose metabolism, in three areas of the brain that are affected early on in the disease course (medial temporal, posterior cingulate and lower parietal), significantly correlated (P < 0.05) with test scores for attention, episodic memory and FSIQ during progression of the disease (Fig. 4).
Comparisons of survival curves were made using the log-rank test and multivariate analyses were done using the stepwise Cox regression analysis.
The derived outcome-based composites were regressed onto the 15 trait EI facets, using the stepwise method in each analysis.
In the analysis using the stepwise multiple linear regression final model with 5 independent variables, household income which explained 66% of the variance, was found to be the most influential variable followed by gender and age of respondents, access to information on organic agriculture, and presence of household member with a health problems (Table 3).
Multivariate analysis using the stepwise method was used to identify predictors of VAP.
The relationship between the dependent and the independent variables were analyzed by a multiple regression analysis using the stepwise method.
The results of multivariate analysis using the stepwise Cox proportional hazards regression model are shown in Table 5.
Counting-process analysis using the stepwise method yielded a model that included sex (p < 0.0001) and Cu concentration received on the day of the event (p < 0.0001).
