Examples of using Wald in English and their translations into Portuguese
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
The Wald Chi-Squared test tested the differences between proportions, and values with p<
Statistical significance was determined by the Wald test and p values below 5% were considered statistically significant.
So Wald could buy the schematics for CTU
The hypothesis test used was based on the Wald test, Student's t-test,
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Generalized Wald test was used to compare the two means, while weighted ANOVA was used for more than two means.
We used the criterion Wald chi-square test for choosing the best structure to be adopted in the model concerned.
The variables adjusted in the model were selected by the p value of Wald test, calculated in the univariate analysis.
0.25 Wald test were candidates for the multiple models.
The significance of the variables was evaluated based on the Wald test and the effect measured by the Odds Ratio.
The statistical significance of prevalence ratios obtained in Poisson regression models was assessed by the Wald test.
only that one with the highest Wald coefficient was included.
The statistical significance of each variable in the model p-value was estimated by the Wald test.
The coefficients for each variable included in the model showed statistical significance according to Wald p.
In the construction of the final model, variables that showed a 5% significance level for Wald tests were maintained.
The Omnibus test was used to verify the models' adequacy and the Wald statistical test to assess the variables' significance.
we adopted a significance level of 0.05, according to Wald chi-square test.
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Thus, all variables were included in the model, excluding those with higher p value Wald test of heterogeneity.
