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There are of course predictors of importance for HRQL in food hypersensitivity missing in our regression models.
Factors such as diagnosis, gender, type of service system, and level of care are predictors of importance to patients' legal status.
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Another predictor of importance is receiving non-monetary incentives by either providers' employers or the community for whom they work.
Our finding that degree was also a good predictor of importance in the system reiterates previous findings in other undirected biological networks [ 23], though the primary contribution to importance we found to be betweenness, similar to findings in regulatory networks.
Fig. 3 Predictors of most importance for a parametric and b non-parametric models listed in the order of greatest to least importance.
Logistic regression analysis (table 1) revealed that the significant predictors of the importance assigned to use of empirical evidence were gender and work role.
In multivariate models, being in more overall pain or reporting fewer than 3 bowel movements per week were found to be independent predictors of the importance.
To construct the multivariate logistic regression model independent variables were chosen for each outcome: those independent variables whose p < 0.05, and other variables (albeit not significant) described in the literature as predictors of primary importance.
The classification and ranking subroutines also yield intuitive predictors by ranking predictors in order of importance and, more importantly, calculating threshold decision-making values above which patients would likely have higher toxicity rates.
Dominance analysis was conducted to rank the predictors in terms of importance, defined as the contribution to change in model fit of a predictor by itself and in combination with other predictors.
KIM-1 was shown as a predictor of secondary importance in these situations [ 62].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com