Evaluating feature importance biases in logistic regression: Recommendations for Robust Statistical Methods. Author's reply.

MLA

Deschepper, Mieke, et al. “Evaluating Feature Importance Biases in Logistic Regression: Recommendations for Robust Statistical Methods. Author’s Reply.” European Journal of Internal Medicine, vol. 132, Feb. 2025, pp. 137–38. EBSCOhost, https://doi.org/10.1016/j.ejim.2024.12.029.

APA

Deschepper, M., Paiva, J. A., & Blot, S. (2025). Evaluating feature importance biases in logistic regression: Recommendations for Robust Statistical Methods. Author’s reply. European Journal of Internal Medicine, 132, 137–138. https://doi.org/10.1016/j.ejim.2024.12.029

Chicago

Deschepper, Mieke, José Artur Paiva, and Stijn Blot. 2025. “Evaluating Feature Importance Biases in Logistic Regression: Recommendations for Robust Statistical Methods. Author’s Reply.” European Journal of Internal Medicine 132 (February): 137–38. doi:10.1016/j.ejim.2024.12.029.