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***denotes significant deviance (level of significance 0.001) from equidispersion (ϕ = 1) by applying a regression based test with the alternative hypothesis of a quasi-Poisson model (Cameron and Trivedi [1990]) implemented in the R library AER (Kleiber and Zeileis [2008]).
The model is significant (deviance ratio = 4.69, p<0.001), but the only significant factor was population, due to the difference between Ribadavia and Arnoia populations (t52 = −2.33, p = 0.024).
Statistically significant deviance from equal distribution was assessed with an exact binomial test.
After including the age-BMI interactions, the age-smoking history interaction remained significant (Deviance Difference = 15.44, p-value < 0.001).
A one-sample t test for balance after each block revealed no significant deviance from €0 in each block, on average (all p values >.2).
The z values for the transformed Q-index indicate no significant deviance of the response patterns from those expected by the partial credit model.
Similar(49)
These significant deviances are based on the stronger effects of CpG methylation found in the protein-coding and the repetitive classes of sequences (Table 2).
In obesity, significant deviances were seen also at the level of MEF25.
The Chi values indicate significant deviances from the empirical covariance structure but that would be expected because of the large sample size.
Data were well fit as shown by a non-significant deviance [53].
The inclusion of proximity resulted in a non-significant deviance reduction of only 0.280 with 1 d.f.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com