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Response variables were organized from small to large based on three predictions.
The study variables were organized using Anderson and Newman's model of health service utilization [ 8].
Independent variables were organized in five sets related to the five first main dimensions of the questionnaire (identified above).
This strategy was as follows: continuous variables were organized into meaningful categories and the reference values for each variable were determined.
Variables were organized within the questionnaire under the following categories: Sociodemographics: age, educational attainment, marital status, region of origin, city of residence, occupation, and annual household income.
The explanatory variables were organized into three hierarchical levels based on the Andersen's behavioral model of the use of health services: predisposing, enabling and need factors.
Similar(53)
Working from a concept similar to that created for the CPRS, variables are organized along the following lines: ● Knowledge creation and dissemination (measured by patents filed, patents granted, publications, and presentations at conferences).
One approach is to use a template in which omics clinical variables are organized into a network to understand disease mechanisms and make diagnostic predictions.
Variables are organized along two dimensions: levels of causation and streams of influence, structured in a logical 3 × 3 framework [ 39].
We represent observations about stability, presence of specific domains, sequence and structural features, PTMs etc as random variables X1 X2,…, X N, that may take values x1 x2,…, x N. Variables are organized "graphically" into a network, with pa(X) representing the set of "parent" variables of X, thereby identifying what dependencies can be captured.
The slaughterhouse variable was organized into 3 categories: absence of any kind of slaughterhouse, presence of large poultry slaughterhouse(s), and presence of small poultry slaughterhouse(s) or slaughterhouse(s) for other species.
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