Sentence examples for procedure in multiple from inspiring English sources

Bonf is perhaps the best known adjustment procedure in multiple testing.

The strongest predictors were identified using backward elimination procedure in multiple logistic regression.

Consequently, the use of observational methods, such as the Strange Situation Procedure, in multiple situations might be able to better define their attachment style.

However, this may have been caused by the regressing out procedure in multiple regression analyses because the two factors were included as covariates in the same multiple regression analyses.

In some cases, experimenters may have difficulty in applying those step-up procedures in multiple hypothesis testing because of the computational limitation of existing algorithms in evaluating the critical values for a large number of multiple comparisons.

In such a situation, variable selection procedures in multiple logistic regression might lead to the arbitrary removal of important factors from the final model.

The parallel for construct of OpenMP is used for running the checking and clustering procedures in multiple threads with dynamic scheduling.

Significant changes in physiological parameters correlated with stress (e.g. serum or plasma concentrations of corticosterone, glucose, prolactin, heart rate, blood pressure and behaviour) were associated with both procedures in multiple species, including hens, ducks and geese, in the studies examined.

This procedure results in multiple sets of selected features at each level, so after we complete the cross-validation procedure, we run R-SVM on all samples again to obtain a unique set of feature selection results and a unique classification model that can be used to predict new samples.

Briefly, the procedure consisted in multiple fractionation steps, which separated either unbound or ester-bound molecules from the humic matrix, and cleaved, in the final step, alkyl-alkyl and alkyl-aryl ether bonds with an aqueous HI treatment.

The variable selection procedure used in multiple regressions always selected depth among the significant explanatory variables accounting for variations in body size and density, with which depth was always negatively correlated (Table 1).