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A list of explanatory variables with definitions and defined categories are presented in Table 1.
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Given a long list of explanatory variables, the usual practice is to present results from a single model selected from a series of hypothesis testing procedures while ignoring other plausible models.
We also conducted weighted backward logistic regression analysis using SPSS software version 14.0 (Chicago, Illinois, United States of America) to assess what relationship existed between a selected list of explanatory variables and the main outcome.
Our list of explanatory variables and the data sources are reported in "Appendix B".
And, we run Barro regressions incorporating WPR or TSL in the list of explanatory variables commonly used by this literature.
The list of explanatory variables is shown in Table 2.
To estimate the effect of place of death on DCO registrations, a second model was generated for deceased patients only (n = 98,455, adding 'place of death' to the list of explanatory variables already used.
The detail list of explanatory variable and their description is presented as follows: x 1 = age of the youth.
Moreover, the sample is restricted to students without missing information on a list of important explanatory variables.
x is a set of explanatory variables (see Fig. 5).
The model estimates the log odds of incurring CHS adjusted for a set of explanatory variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com