Sentence examples for elimination using the from inspiring English sources

All predictors with p < 0.05 were used in multivariate analysis with backward elimination, using the Cox regression model and evaluated by Chi square test.

Backwards elimination using the full model with (with HSI, easting and northing predictors) left the HSI predictor as the only significant variable (p ≤ 0.001), see Table  4.

The irradiation time of LED was fixed at 20 s, according to the results of our previous in vitro study [ 3], which demonstrated effective bacterial elimination using the TBO-mediated aPDT procedure with 20 s irradiation.

We analysed numbers-of-hospitalisations as the dependent variable in a multiple regression with stepwise backward elimination using the remaining co-variables and putative predictors listed in table 1 as independent variables.

Parasitologic elimination using the above strategies may provide an opportunity to prevent the onset of late manifestations when used early and even halt the progression of the disease when used late [ 8, 11].

Cofactors were initially specified according to peak positions in interval mapping and selected by backwards elimination using the "Automatic cofactor selection" tool of MapQTL® 6. Maps were visualized using MapChart [ 46].

The recursive feature elimination uses the SVM to rank the contributions of each selected channel.

The decoding complexity of the OSD-based decoding algorithms was further reduced by avoiding the Gauss (or the Gauss-Jordan) elimination using a partial ordering of the received bits in the POSD decoding.

However, the selection in the parameter elimination using closure equation is relevant for obtaining the best results in LLE data modeling.

◆Multiple regression with backward elimination using numbers-of-hospitalisations as the dependent variable and all the other co-variables and putative predictors as independent variables.

Adjusted associations were assessed by multinomial logistic regression models with stepwise backward elimination using p ≤ 0.2 as the cut-off in unadjusted models.