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The estimates with our model assumptions indicated that the average ages at infection ranged from 59.0 67.3 days and that the basic reproduction number, R0, was in the order of 4.02 5.17.
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The model assessment for proportional odds assumption indicated no violation (Brant test p-values between 0.08 and 0.95 for unadjusted, and 0.06 to 0.97 for adjusted analyses, respectively; 0.86 overall).
The tests of the PH assumption indicated significant global deviations and significant deviations for some of the factors in some of the models.
In Table 1 we summarize the articles above reviewed indicating the model assumptions and imaging conditions for which they have been developed and tested as well as the image quality assessment method used to evaluate the corresponding results.
However, even taking into account a larger uncertainty due to the violated model assumptions, a clear reduction is reliably indicated, because of the strength of the effect.
If the residual analysis does not indicate that the model assumptions are satisfied, it often suggests ways in which the model can be modified to obtain better results.
Failure to reject a posterior predictive test indicates that the model assumptions allow to realistically reproduce the observation V O based on real data.
Diagnostic tests indicated no violations of the model assumptions (Supplementary Material 3 5).
These tests did not indicate any violations of the model assumptions.
A comparison with the 45 mapped territories from the year 2004 indicated a good correlation with the model assumptions.
Residual, influence, and multicolinearity tests indicated that there was no violation of model assumptions, no multicolinearity problems, and the residuals followed a normal distribution.
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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