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Summing the feature weights for each network, the results revealed that the cingulo-opercular control network had the greatest sum total of feature weights, suggesting that they were the best relative predictors.
The present randomized clinical trial was nested within the "VZV Pescara Study", a cohort study aimed at evaluating the intensity of pain at presentation, pain persistence, overall pain burden and relative predictors in HZ patients [ 14].
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A useful output feature of the boosting tree method is the relative predictor importance, which measures the average influence of a predictor variable on the prediction outcome over all of the trees [ 45].
On top of this, fertilisation and/or paternity success is only a relative predictor of sperm competitive ability dependent upon the stochastic 'background' against which it is measured [ 25].
Parmigiani and colleagues [ 56]developed a Bayesian model to evaluate the probabilities that a woman is a carrier of a mutation of BRCA1 and BRCA2 using breast and ovarian cancer history of first and second degree relatives as predictors.
For example: "does not believe education of value" might be a relative strong predictor of recidivism, whereas "believes getting education of value" might offer only a small protection against recidivism.
Multiple regression alone does not provide complete information on the relative importance of predictors, especially when predictor variables in a model are correlated.
In addition to these associations of absolute bias CItd-CIpc to absolute changes in the above-mentioned predictors, relative bias (CItd-CIpc)/CItd was similarly associated to relative changes in the predictors (Table 4).
Analysis of the relative importance of predictors indicated that bus stop existence, effective sidewalk width, and type of bike were the potential predictors.
Therefore, the relative risk of predictors for a recurrent event can be lower compared with the relative risk of a predictor for a first event (17).
Relative strength of predictors was assessed by their semi-partial correlation squared values, which indicate the incremental contributions each predictor makes to the model's R-squared value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com