Sentence examples for backward and forward selection from inspiring English sources

Backward and forward selection resulted in the same final model.

Both backward and forward selection showed same results.

A common multiple regression analysis with backward and forward selection procedures indicated there were 9 herd-specific risk factors.

Variables with p<0.10 in univariate analysis were included in multivariable analyses, and backward and forward selection methods were performed to identify significant variables at p<0.05 for any category of each variable.

Backward and forward selection yielded identical results, including the same six of the 13 candidate variables tested: wound drain, number of operations, CHF, diabetes, tibial shaft/tibial plateau injury site, and elbow injury site.

We used the stepwise "stepAIC" algorithm available in the packet MASS in the statistical programming environment R [ 43] with both backward and forward selection using the Akaike Information Criterion [ 44] for model selection.

Sequential backward and forward selections of variables were implemented to reduce the number of variables while maximising the accuracies, resulting in increased accuracies of κ: 0.72 and κ: 0.83 for the associations and aggregated categories using six and three variables respectively.

Backward and forward selections from the full model were applied to help determine the parsimonious model.

The regression coefficients along with their 95%% CIs, and the bootstrap inclusion frequencies of infependent variables for the models selected using automatic stepwise selection algorithm (backward elimination and forward selection) with AIC, BIC and the Likelihood ratio test (p  = 0.05).

Significance was determined by comparing the matrix correlation statistic to a distribution obtained by permuting the matrices 9,999 times, using the program Permute! [42] and implementing the double permutation method option and backward elimination and forward selection testing options.

Regression models were constructed using both backward elimination and forward selection.