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Testing for the overall significance of the household characteristics and the quadratic income terms confirms the model specification.
Non-inferiority testing for the overall population will be performed first.
The P-values are from testing for the overall effect of each demographic and SES characteristic by using the Wald test statistic.
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Success rates in BZD withdrawal were analysed using the Fisher's exact test for the overall comparison and using the Cochran Mantel–Haenszel (CMH) test for the comparison by initial BZD dosage.
Type 3 tests for the overall effect of day (categorical) were computed as a summary and p-values presented.
In both models adjusted odds ratios (AORs), 95% confidence intervals (95%CI) and a test for the overall significance of the model variables with more than 2 levels (Type 3 analysis of effects test) were computed to assess pairwise comparisons.
P values for individual covariates were calculated using the Wald test and the likelihood ratio test for the overall model.
We used excel to calculate unadjusted chisquare tests for the overall differences in proportions (test for homogeneity).
The results of heterogeneity and consistency (I) tests as well as the test for the overall effect were also reported.
A P value less than 0.05 was considered statistically significant in the test for the overall effect.
e P-value of a Wald test for the overall effect of whole blood mercury on hypertension.
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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