118 , 121 Predictor selection was necessary because, while a Bayesian regularized model might show an overall better fit to the data than a null model, all of the individual predictors might not be significant.
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118 , 121 Predictor selection was necessary because, while a Bayesian regularized model might show an overall better fit to the data than a null model, all of the individual predictors might not be significant.