Background The goal here is strong internal validation after fitting a pre-specified regression model or one that was derived using backwards step-down variable selection such that the same variable selection procedure can be repeated afresh for each bootstrap repetition. So strong internal validation means estimating a variety of model performance measures in a way that does not reward them for overfitting and that penalizes for all aspects of model selection and derivation that utilized the...
