Solved – Model stability in cross-validation of regression models

Given multiple cross-validation folds of a logistic regression, and the resulting multiple estimates of each regression coefficient, how should one measure whether or not a predictor (or set of predictors) is/are stable and meaningful based on the regression coefficient(s)? Is this different for linear regression?

You could treat the regression coefficients resulting from each test fold in the CV as independent observations and then calculate their reliability/stability using intra-class correlation coefficient (ICC) as reported by Shrout & Fleiss.

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