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Updated: Feb 17, 2026

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信頼性の高い用量反応推定のためのバイナリ Emax モデルのバイアス 減少 方法の評価

Jiangshan Zhang1, Vivek Pradhan2, Yuxi Zhao2

  • 1Department of Statistics, University of California, Davis, CA, USA.

Journal of biopharmaceutical statistics
|February 16, 2026
PubMed
まとめ

投与量反応分析における最大確率 (ML) の推定は,サンプルサイズが小さい場合,信頼性が低下することがあります. マキシマム・ペナライズ・確率推定 (MPLE) のようなバイアス・リダクション・メソッドは,臨床試験のパラメータ推定をより堅牢に提供します.

キーワード:
バイナリー Emax モデルバイアス・リダクション (bias-reduction) とは,バイアス・リダクションを意味する.第1回 修正しました.罰せられた最大の可能性.サンプルサイズが小さいサンプルサイズです.

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