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Updated: Feb 22, 2026

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測定されていない混同バイアスの下でP値の経験的校正を評価する:シミュレーション研究と現実世界の応用

Mengyao Wang1, Wenwen Li1, Zhenzhen Lu1

  • 1Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China; Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.

Journal of clinical epidemiology
|February 20, 2026
PubMed
まとめ

P値の経験的校正は,観察研究のタイプIエラーを効果的に制御し,測定されていない混同バイアスを軽減します. ネガティブコントロールを用いたこの方法は,シミュレーションと現実世界のデータにおいて,バイアスを最大100%まで減少させました.

キーワード:
経験的カリブレーションによるカリブレーションネガティブコントロールはネガティブコントロールです.観察研究は観察研究です.シミュレーション・シミュレーションタイプI エラー計り知れない混乱.

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