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Updated: Sep 9, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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デザインベースの因果推論と欠落した結果:欠落のメカニズム,推算支援ランダム化テスト,およびコバリアート調整

Siyu Heng1, Jiawei Zhang2,3, Yang Feng1

  • 1Department of Biostatistics, New York University, New York, NY.

Journal of the American Statistical Association
|August 29, 2025
PubMed
まとめ

この研究は,デザインベースの因果推論における欠落した結果に対処するための新しい推算枠組みを導入し,複雑な欠落であっても正確なランダム化テストを保証します. この方法は,正確なタイプIエラー制御を維持し,因果効果の推定の信頼性を高めます.

キーワード:
有限集団の因果推論機械学習欠けているデータランダム化推論ランダム化試験

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