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Linear cofounder Z : log p v = β 0 + β 1 X + β 2 Z, or Quadratic cofounder Z : log p v = β 0 + β 1 X + β 2 Z + 0.5 × β 2 Z 2, where β 1 = log 1.5 or log 2, and β 2 = log 2 or log 4 The value of β1 in the models denotes the effect due to exposure on the log-relative risk scale (i.e. β1 = log (RR)).
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The result of the analysis is an assembly of system models, denoted the Worst Case Definition (WCD) model, to set up and evaluate the conditions of multi-dimensional risk identification and risk quantification.
The odds ratios obtained from the latter models denote the change in odds ratio by moving from one deprivation group to the one immediately more deprived.
The last part of the model denotes the variation of the received power.
This is a model denoting the probability that the entity interacting with the system takes each available choice.
Titration modeling denoted the presence of four kinds of sites with acid base properties: hydroxyl, carboxylic, phenolic and amino groups.
In the second one, we suppose that we have a probabilistic implementer model, that is, a model denoting the probability that the implementer makes each possible fault while constructing the system.
Model denoting the role of arginine methylated Aven by PRMT1 and DHX36 in the translation of G4 harboring MLL1 and MLL4 proteins.
The Models layer denotes the set of models to be integrated.
Model discrimination denotes the model's overall ability to correctly classify patients as survivors or non-survivors.
For the following models, X denotes the r.v. of the baseline G model.
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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