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Also as was already explained, interaction between baseline value and visit, allowing for time varying effect of baseline severity, was included in the model as it was significant in most of the cases.
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At least 85% of the perturbed explained interactions and the unperturbed explained interactions were explained by only one link.
Moreover, about 72% of both perturbed and unperturbed explained interactions were explained by only one link.
Moreover, 80.7% of perturbed explained interactions and 82.2% of unperturbed explained interactions in CS vs. HM had only one link explaining them on average.
Figure 2 displays, for each contrast, the distributions of the maximum observed JIs for each link, divided into perturbed explained interactions and unperturbed explained interactions.
The fact that most explained interactions had only one explaining link supported this observation.
Nearly 90% of the links had a maximum JI of at most 0.2 in the case of perturbed explained interactions, with the number being nearly 70% for unperturbed explained interactions.
Figure 1 (center) clearly illustrates the divergence in the BPNs computed for the Cirrhosis contrast in terms of the overlap of their explained interactions.
Let us explain interaction effects using an example.
However, preclinical experimental data explaining interaction mechanisms are widely missing.
In fact, students may be more likely to demonstrate critical thinking if they give one or two extended examples, taking the time to explain interactions between ideas.
Write better and faster with AI suggestions while staying true to your unique style.
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