Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study.
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| Title: | Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study. |
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| Authors: | van de Wiel MA; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands., Leday GG; Biometris, Wageningen University and Research, Wageningen, the Netherlands., Heymans MW; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands., van Zwet EW; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands., Zwinderman AH; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands., Hoogland J; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, the Netherlands. |
| Source: | Statistical methods in medical research [Stat Methods Med Res] 2025 Jul; Vol. 34 (7), pp. 1342-1355. Date of Electronic Publication: 2025 May 29. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1477-0334 |
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| DOI: | 10.1177/09622802251338440 |
