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Importantly, implementation variables are closely related to policy intervention ones.
Figure 2 shows the average value of the implementation variables by birth year.
Implementation variables also play a key role in this case, particularly for the low skilled.
In particular, I estimated three reduced models for each dependent variable: the first model including only the four policy variables, the second model testing only implementation variables, and the third model with all policy and implementation variables.
Moreover, given that implementation variables are closely related to policy intervention ones, interaction terms are included in the models.
This implies that the implementation variables may be downward biased estimations of the probability of studying under LOGSE.
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types and for describing the implementation of variables.
In an ideal recursive implementation, all variables are final, all data is immutable, and the recursive methods are all pure functions in the sense that they do not mutate anything.
For ease of implementation, decision variables for whether to administer a drug or not were cast as continuous with bounds between 0.49 and 0.51, with 0.5 or greater corresponding to administration.
We extracted data on study characteristics, methodological quality (based on seven design and implementation questions), variables required for a Cochrane risk of bias assessment [ 23], and our pre-specified primary and secondary outcomes.
PLS in its original form has no implementation of variable selection, since the focus of the method is to find the relevant linear subspace of the explanatory variables, not the variables themselves.
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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