関連する実験動画

Updated: Sep 10, 2025

Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

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ランダム化対照試験のシミュレーション研究における欠落したバイナリ結果に対処するための最適な戦略の体系的調査

Yanjiao Shen1,2,3, Parpia Sameer4, Xin Xia1

  • 1Center of Gerontology and Geriatrics/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Journal of evidence-based medicine
|August 26, 2025
PubMed
まとめ

マルチプルアピュテーション (MI) は,ランダム化制御試験 (RCT) で欠けているバイナリー結果データ (MBOD) を扱う上で優れ,完全な症例分析 (CCA) を上回ります. 非モデルベースの単一の割り算方法は,一般的に不十分です.

キーワード:
バイナリー欠陥データアピュテーション戦略ランダム化対照試験報告の質についてシミュレーション研究

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