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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.
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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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE
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              Text: 2025 Jul
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