Letter to the Editor: "A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules".

Overall, neither univariable screening nor stepwise variable selection in any way solves the problem of “too many variables, too few subjects,” and they cause severe biases in the resulting multivariable model fits while losing valuable predictive information from deleting marginally significant variables.” Although the authors applied the B–H procedure to mitigate the issue of multiple testing, it does nothing to address the other problems of univariable screening, as outlined by Prof.

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