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The final model retained only those variables with a p-value less than 0.05.
The final model retained only predictors associated with AEHI at P ≤ 0.05 in the combined model.
The final model retained only variables significant at the.05 level.
The final model retained only variables significatively associated with the dependant variable (p<0.05).
In a multivariate analysis (Table 3), the model retained only site of onset, initial slope of deterioration and the coordinated care.
A final regression model retained only Use of Expertise (β-coefficient = 0.53, p <0.01), Authority (β-coefficient = -0.20, p <0.01) and Role Congruence (β-coefficient = 0.39, p <0.01).
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A simplified MIMO decoupler in the mode space, based on a model retaining only the largest cross-coupled mode, is also being developed.
Finally, we turn to a simplified model retaining only v2 as an explanatory variable begin{array}rcl@ {y_{i}=tau_{0}+tau_{2}v_{i2}+a,w_{i}}.
Stepwise selection was used to determine the final model, retaining only variables with P <.05.
Finally the model retains only those factors with significant associations at P value < 0.05 level.
For each regression, all the predictors were included in the model, retaining only the variables that significantly contributed to the prediction of cognitive test score.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com