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Predictive values were not significantly different between the logistic regression and PLM scale.
Moreover and interestingly, when all AUCs were compared (Table 2), the PLM scale was second best after the logistic regression.
In any case, the PLM scale outperformed the logistic regression and has the advantage of being used without complex mathematical adjustments.
This result could be explained by the "discontinuous" nature of the PLM scale, which is better suited to the four probability classes that we had targeted.
The predictive values of this "PLM scale" for the different classes were also similar to the ones obtained with the logistic regression.
Distributions of AD and NAD patients, as well as percentage of AD patients in each class, were then computed and plotted for the PLM scale.
Similar(45)
To compare the classification resulting from the logistic regression and the PLM scales, we calculated the NRI (see Material and methods section) on the PLM-2 population.
In the present study, we conducted an evaluation, based on multicenter data from our PLM cohort [ 25], of a simpler scale based solely on the numbers (from 0 to 3) of pathologic biomarkers (Aβ42, tau, and p-tau) identified.
PLM systems are tools that implement the PLM concept.
CPQ strategies scale when CRM, CAD, ERP and PLM systems are synchronized with each other to improve new product introductions and improve time-to-market.
This magic quadrant missed the opportunity to be prescriptive on how to solve the proliferation of product lines all companies face today by scaling their CPQ, product configuration, pricing, PLM and ERP systems so they can keep up.
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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