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To this end, stepwise reduction of predictors based on their VIP/coefficient ranking was introduced and was proven to be an effective approach to identify and remove redundant collinear predictors.
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Alternative strategies such as principal component analysis (PCA) and partial least square (PLS) regression have been suggested for the sake of size reduction of correlated predictors [ 5, 7- 9] and may present advantages to improve the description of associations between mutations.
Removing those variables that had p >.10 resulted in a reduction of pool predictors from 48 to 12 for PCS and from 48 to 17 for MCS, thereby reducing the probability for type I errors.
Finally, proper reduction of the number of predictor variables makes model generalization less problematic [ 39].
Sufficient dimension reduction is a body of theory and methods for reducing the dimensionality of predictors while preserving information on regressions.
Due to these increased burdens, the identification of CVD predictors and reduction of risk factors are critical to reverse these expected trends.
Discussion: The discussion seems to clarify that the excellent predictor of reduction of tremor is produced by a different command than the voluntary control.
An ROC curve analysis demonstrated a sensitivity of 70.8%95%5% CI 48.9 87.4) and specificity of 73.1% (52.2 88.4) by using the LBGI cutoff of 3.34 as predictor of reduction of hypoglycemia on CSII.
Another analysis presented data on initial tumour size reduction of primary tumours as independent predictor for OS in renal cancer, underscoring the relevance of early treatment evaluation (Abel et al, 2011).
The computing times for the predictors imply a reduction of two orders of magnitude in comparison to a Monte Carlo procedure.
Identification of predictors, such as POETV, could prove useful as targets for future screen media reduction interventions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com