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It does not require a precise mathematical model equation describing the dependency between the predictor values and the target values.
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The higher the validity coefficient (the coefficient for the correlation between the predictor value and the criterion value), the narrower the ellipse is and the more qualified submissions that are accepted.
Applied to the manuscript selection process they are: The validity coefficient rxy indicates the strength of the relationship between the predictor value (x, outcome of peer review) and the criterion value (y, the scientific quality of a submission).
Centering a predictor merely entails subtracting the mean of the predictor values in the data set from each predictor value.
If the predictor values of the patients show little variability (homogeneous population), it is difficult to distinguish between patients with different outcomes.
The long disordered region between residues 1 and 35 is reproduced well – the consensus predictor values are highest in this region (i.e. higher than between residues 50 and 60, or in the C-terminus region).
The BIC was used as the metric of model performance because it does not assume that a relationship between explanatory and predictor values exists and has a larger penalty with larger data sets [75].
The BIC was used as the metric of model performance because it does not assume that a relationship between explanatory and predictor values exists and has a larger penalty with larger data sets [ 75].
This result is not surprising, given the low rmspe values and the closeness in terms of predictor values between the states with strong coverage and their synthetic version shown in Table 4, for example.
The distribution of predictor values, outcome prevalence, and correlations between variables also influences the predictive value of variables within a model [ 83].
The proportions of missing predictor values were between 5.5 and 6.5 %.
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