0%, Fisher’s exact test, P = 0.486), but these differences did not reach statistical significance, possibly due to the small number of samples.
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Radiomic Signatures for Predicting <i>EGFR</i> Mutation Status in Lung Cancer Brain Metastases.
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The sentences
Marginally significant features were selected using the least absolute shrinkage and selection operator (LASSO) and a logistic regression model, which performed variable selection and regularization to enhance the prediction accuracy and interpretability of the statistical model.