Sentence examples for multiple predictors in from inspiring English sources
For this reason risk prediction models usually utilise multiple predictors in combination.
The Q + Index summarizes the multiple predictors in a simple and practical way.
In most cases when multiple predictors in a regression model are correlated with one another, there exists shared variance of the dependent variable among those correlated predictors.
These data suggest that a high concordance exists across these multiple predictors, in particular the RS, 70-gene and Intrinsic Subtypes; thus, the new intrinsic gene list and classification method developed here, when compared to other predictors as accomplished in Fan et al. [ 33], showed that a high concordance across predictors exists, which provides additional validation for each predictor.
Except the last two, the predictions are based on the consensus between multiple predictors (described in Methods).
For a given protein sequence, MESSA carries out the following analyses: First, MESSA uses multiple predictors (listed in Table 1) [ 49- 64] with default parameters to predict secondary structure, disordered regions, low-complexity regions, transmembrane helices, signal peptides, coiled coils and positional conservation indices.
The results for odds of child mortality with multiple predictors are presented in the same table.
Our analysis has identified multiple predictors of outcome in a well-described patient database using both patient- and imaging-related factors with a prospective follow-up.
They concluded that direct standardisation was theoretically preferable, but "practically impossible when multiple predictors are included in the casemix adjustment model".
In cases where multiple predictors are correlated (a common occurrence in biology), will cause predictors with no prior information to be shrunk from the model before predictors with prior information.
Although stepwise simplification approaches have been criticized [53], there is no perfect approach to choosing among multiple predictor variables in the absence of prior models [54].
