Sentence examples for elimination of regression from inspiring English sources

In principle, Bayesian methods also allow explicit inclusion of prior knowledge and can preclude time-consuming model selection procedures through stabilization, rather than elimination, of regression model terms [ 23].

The smaller number of variables in the parsimonious models were selected by a documented procedure of stepwise elimination from the regression of variables showing weak statistical significance or perverse signs.

In the final backward elimination logistic regression model, five of six correlates found to significantly increase the risk of serious skin infection at the univariate level remained independently associated.

Separate multivariable linear regression models for maternal and early infant factors were developed using backward elimination stepwise regression as a way of selecting a subset of variables that were statistically significantly associated with infant birth weight and length-for-age z scores.

44 45 Deletion of Dclk1 cells resulted in the regression and elimination of intestinal tumours, suggesting that this marker was functionally required for tumour growth.

The visual recovery would therefore depend on the elimination of the inflammatory cell infiltrates, regression of edema, scarring and the newly developed vessels.

The elimination of non-significant variables in regression analysis based on backward variable selection is similar to the pruning of the tree that contains the maximum number of terminal nodes.

The use of a more liberal inclusion criteria in the multivariate logistic regression analysis, elimination of all variables with a p-value >0.15, resulted into the same final model.

The theoretical concentration at time zero (obtained by back extrapolation to the origin of the elimination regression line) and t1/2 was calculated by least-squares non-lineal regression analysis.

A backward elimination regression of WQL on the regression variables retained baseline QOL and the dummy variable for age ≥ 60.

The regression coefficients from the backwards elimination regression of WQL on the covariates are shown in column 2. The procedure retained baseline QOL and the dummy variable representing age ≥ 60.