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Updated: Sep 8, 2025

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Bi-Weibull ROC 曲線の下の面積の推定方法の比較

Ruhul Ali Khan1, Musie Ghebremichael1,2

  • 1The Ragon Institute and Harvard Medical School, Cambdrige, Massachusetts, USA.

Pharmaceutical statistics
|September 5, 2025
PubMed
まとめ

bi-Weibullモデルは,特に標準モデルが失敗した場合,受信機操作特性 (ROC) 曲線分析のための柔軟な代替案を提供します. 様々な分布に対するROC曲線の下の面積の正確な見積もりを提供します.

キーワード:
コックス PHHIV/エイズROC カーブバイウイブルシミュレーション

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