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Under these circumstances, it is advisable to carry out the choice of optimal braking modes of cuts using the Wald criterion [17].
Each of these variables was significant at the 0.01 level using the Wald criterion.
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We removed from the model one exposure at a time using the Wald p-value <0.1 as the elimination criterion.
Covariates were assessed for effect measure modification by comparing stratified PD estimates and testing for heterogeneity using the Wald Heterogeneity test p-value with an a priori criterion of 0.20.
The significance of the independent variables was estimated using the Wald test.
Statistical significance was assessed using the Wald test.
The significance of fixed terms was determined using the Wald statistic, which approximates the χ2 distribution.
Interactions were assessed using the Wald test.
Regression was tested using the Wald test.
* significant at the 5% level using the Wald test.
The association force was calculated using the Wald test.
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