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Both sets of variables elicited similar prediction quality.
Table 5 gives the canonical loadings for both sets of variables.
Our approach that allowed accounting for both sets of variables allowed us to observe their separate effects.
A unified multivariable logistic regression model was generated with backward selection to determine the best predictors of ED from both sets of variables.
Even if two synthetic axes are extracted from both sets of variables (blocks 1 and 2; Table 5) which together explain ∼92% of the identified covariance between the two blocks, the percentage of total possible squared covariance actually extracted is very small (0.89%).
Both sets of variables were dichotomized: all answers correct versus other and receipt of any intervention versus no intervention.
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To attain normality, both set of variables were transformed using procedures described by Box and Cox [ 31].
When comparing the models for ROV and AUV MBES on the Acesta Wall, performance was not improved by combining both sets of derived variables.
We included measures of phylogenetic relatedness along with biotic traits in boosted regression tree analyses to test whether combining both sets of explanatory variables and potential interactions between them would alter results and to control for potentially confounding and unobserved evolutionary factors (e.g., phylogenetic constraints).
Both Chandler and Modelski used diverse sets of variables to determine their final city population counts.
In the final models, the same sets of variables were retained for both neonatal and early neonatal deaths.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com