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We define variables used for generating the outcome as true predictors and the remaining variables as redundant variables.
Only cases with values for both final scores of PHQ-9 and GAD-7 were included in the analyses, as both were required for generating the outcome measures.
(Asia Pacific) The primary factors that were mentioned as limiting the success of respondents' programs to date included inadequate financial support from public and/or private sources and the challenges associated with generating the outcome data required for rigorous evaluation.
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Further, it is worth stressing that much of the existing analysis in the scientific literature uses canned software that itself imposes additional assumptions on the underlying process generating the outcomes.
The input data to be visualized generates the outcome data to be visualized.
JGD helped generate the outcome estimates, did the AHP analyses, and helped prepare the manuscript.
This would happen when the action effectively causes (i.e., generates) the outcome.
Questionnaire responses were coded and entered into an SPSS (v.14.0) database to generate the outcome measures.
We drew 1,000 times from the model parameters for the fixed effects to generate the outcome variable in order to capture the estimation uncertainty.
For each step in the sequence, we will seek to identify what mechanism(s) will generate the outcome and in what contexts this mechanism might be triggered.
The models used to generate the outcome were: an early critical period, an accumulation model, and an early sensitive period model.
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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