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The performance of this new model (R2 = 0.930) is comparable to the one reported for models based on more numerous and more sophisticated predictors.
As such, we provide a systematic overview of these techniques, in the hope that future predictors can employ these methodologies as a foundation for the creation of more sophisticated predictors.
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Despite these limitations, this study provides a sophisticated analysis of predictors for rehabilitation specific to the AI/AN race.
Neurofeedback is becoming increasingly sophisticated and widespread, although predictors of successful performance still remain scarce.
Treatment and biological research has become increasingly sophisticated, and many psychosocial predictors of the course of the disorder have been documented.
In particular, such data sets would permit training of more sophisticated machine learning-based specificity predictors that allow for modeling pair-wise or even higher order positional dependencies, both in the ligand and in the domain.
However, this approach is more sophisticated because it also takes into account other predictors and the uncertainty surrounding the imputed values.
The reviewers recommended that future research apply a bio-psycho-social model and that the various predictors should be analyzed in a more sophisticated way allowing moderator variables to be uncovered.
None of the predictors used in the basic univariate comparison and the more sophisticated GEE regression analysis showed any significant association with improved digit span test performance.
The strengths of this study are that, first, a sophisticated Bayesian spatial model was used to evaluate the difference in the potential predictors between locally acquired and overseas-acquired cases of DF in Queensland.
Further sophisticated analytic work is needed in order to make theoretical advancements and to identify contextual predictors of research use.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com