MA, v. d. W., GG, L., MW, H., EW, v. Z., AH, Z., & J, H. (2025). Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study. Statistical methods in medical research, 34(7), 1342. https://doi.org/10.1177/09622802251338440
Chicago Style (17th ed.) CitationMA, van de Wiel, Leday GG, Heymans MW, van Zwet EW, Zwinderman AH, and Hoogland J. "Alternatives to Default Shrinkage Methods Can Improve Prediction Accuracy, Calibration, and Coverage: A Methods Comparison Study." Statistical Methods in Medical Research 34, no. 7 (2025): 1342. https://doi.org/10.1177/09622802251338440.
MLA (9th ed.) CitationMA, van de Wiel, et al. "Alternatives to Default Shrinkage Methods Can Improve Prediction Accuracy, Calibration, and Coverage: A Methods Comparison Study." Statistical Methods in Medical Research, vol. 34, no. 7, 2025, p. 1342, https://doi.org/10.1177/09622802251338440.