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The model and variable selection is key to multivariable analysis.
Model and variable selection were based on descriptive results and univariable regression for the outcome of fatality.
If a published biomass equation is the result of an intensive model and variable screening process, we must expect optimism in published statistics and model-bias [68].
Although our model is restricted to input-oriented model and constant return to scale, one can easily generalize it to output-oriented model and variable return to scale.
The generic FRM achieved results that were comparable to those obtained with more traditional approaches based on model and variable selections.
The design and implementation of a new adaptive nonlinear predictive controller is presented using a general nonlinear model and variable transformations.
Similar(43)
where j is the ID of the least probable CA model and variables with subscript + are the updated variables.
Therefore, one needs to select cautiously the model and variables based on the research goal, the statistical foundation, and the theoretical support.
Following this, we introduce the analytical strategy employed, which is propensity score matching, and move on to describe the data, model and variables used.
S may include both variables that are additional covariates in the analysis model and variables that are not in the analysis model (i.e. auxiliary variables).
This contradictory finding might reflect the use of different ages and animals, the type of asthma model, and variables measured.
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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