Sentence examples for model by excluding from inspiring English sources
For assessment of the robustness of the methodology with respect to reporting bias, we reran the generic model by excluding the host factor related to the number of primary publications in PubMed.
We have also re-estimated the model by excluding the capital stock and the attendance rate coefficients remain virtually identical.
In addition, we calculated the AUC of the model by excluding one variable at a time, and we compared the AUC values of the models that lacked a single variable, and ranked the variables accordingly.
We used the backward stepwise model by excluding the non-significant variables and retaining only the significant variables.
The population PK model was developed from the full-covariate model by excluding nonsignificant covariate parameter relationships to provide the most parsimonious model.
The regression coefficients with 95%% confidence intervals were presented for the most parsimonious model by excluding non-significant variables (p > 0.05) using the stepwise backward elimination method [ 35].
Taking into account the empirical data about forest distribution in undisturbed environments31, the natural spatial extent of Araucaria forests is modelled by excluding north-facing slopes and hilltops, and the results are compared to 1966 land cover (Fig. 3).
In [35], the CSMA protocol was modeled by excluding interference from a guard zone around the typical receiver in a Poisson model.
Second, we ran the models by excluding cases that were transferred between different hospitals during index hospitalization (3,131 cases).
We cross-validated the final models by excluding one wolf territory at the time, estimating model coefficients for the retained territories, and using these coefficients to predict the SSF for all real and random steps of the excluded territories.
Following guidelines on validation of prediction models, we wanted to refrain from simplification of the models by excluding some predictors and then refitting the new model on our data, as that would lead to the development of even more models.
