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A Cox proportionatal hazards model identified both pathologic tumor and nodal stage as independent predictors of disease-free survival.
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Models identified both metrics of landscape composition and patch shape as being important predictors of species occurrence, suggesting that shape metrics can complement more commonly used metrics of landscape composition.
Moreover, branch-sites models identified both residues 277 and 285 as possible targets of positive selection, though inclusion of this class of positively selected sites was not found to be statistically significant (Table 1).
The model successfully identified both direct and indirect violations against existing safety constraints that resulted in the accident at each level of the organization.
Importantly, this prediction model appropriately identified both children with bacterial meningitis and CSF lactate <3.0 mmol/l.
Site-specific models of evolution identified both these sites as likely subject to selection across species.
On-call work was the most frequently listed negative aspect of the caseload model, identified by both caseload and standard care midwives in both surveys.
The best model identified by both AICc and BIC [see Supporting Information ] did not include any significant residual (i.e. not trait mediated) effect of host tree phylogeny on arthropod community composition.
A recent systematic review of integration evaluations identified both models as 'inadequately studied' to date.
We introduce and apply a doubly regularized Cox regression model to identify both genes and signaling pathways related to pancreatic cancer survival.
Thus, the number of changes needed to transform the graphical model identified by one or both of the two methods to the known structure defined by the matrix M. The SHD measures the performance of LASSO and Bolasso by counting the number of false positive and false negative edges.
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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