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The introductory section is followed by a section that offers a detailed description of the sampling and data-collection methods, the variables and the analytical approach frameworks.
As described in the methods the variables applied in the study were dichotomized never/seldom versus sometimes or more often.
Due to the REGARDS sampling methods, the variables race, region, and sex were included in the multivariable model regardless of statistical significance.
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Such methods are called time-dependent (or updated) covariate methods, as the variables they incorporate may change value over time.
We used nonparametric methods because the variables were not normally distributed.
The advocates questioned whether the research methods and the variables selected by the scientists advanced the knowledge of possible carcinogeneity of environmental exposures (McCormick et al. 2004).
When all variables were analyzed in a multiple regression model using a stepwise method, the variable indicator of EM-feedback type (p < 0.01) and cognitive-educational (p = 0.02) were the intervention components that remained significant in the final model.
Section 3 explains the methodology namely the method and the variables used.
Fig. 14 Representation of 30-days patients' survival by the CHAID's segmentation method using the variables of interest.
In the propensity score-matching methods, the outcome variable is propensity score.
For the other machine learning methods, the default variable importance specified in the caret package (5.15-0.52) wadoptedted.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com