関連する実験動画

Updated: Sep 10, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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依存性の下の勝利者の呪い: 複雑な密度を使用して経験的ベイズを修復する

Stijn Hawinkel1,2, Olivier Thas3,4,5, Steven Maere1,2

  • 1Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Gent, Belgium.

Biostatistics (Oxford, England)
|August 27, 2025
PubMed
まとめ

大規模試験における選択バイアスである勝者の呪いは,ブートストラップまたは密度収縮による経験的ベイズ法を使用して修正できます. これらの方法は精度を向上させるが,再現性に関する特徴のランキングを向上させない.

キーワード:
収縮する依存症経験的なベイズ選択バイアスシミュレーション勝利者の呪い

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