相关实验视频
Updated: Jul 11, 2026

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Setting Limits on Supersymmetry Using Simplified Models
Published on: November 16, 2013
碰撞器效应的危险性,因果关系和实际相关性 - 评论贝耶尔斯曼等人. "危险构成了分析,解释和理解时间到事件数据的关键量"
Ralf Bender1,2, Lars Beckmann1
1Department of Medical Biometry, Institute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.
Biometrical journal. Biometrische Zeitschrift
|September 8, 2025
概括
危险比率对于时间与事件分析至关重要,在人口层面提供了有效的因果解释. 现实世界随机试验通常避免了与异质性相关的理论问题.
科学领域:
- 生物统计学 生物统计学
- 流行病学 流行病学
- 生存分析的分析.
背景情况:
- 在时间到事件数据分析中,危险是基本的.
- 对危险比率的解释取决于随着时间的推移观察危险函数.
研究的目的:
- 突出危险比率的因果解释性作为人口层面的估计值.
- 讨论在实践中避免理论问题,例如随机对照试验中强烈的异质性.
主要方法:
- 对危险函数和危险比率的概念分析.
- 来自随机对照试验的经验证据的审查.
主要成果:
- 危险比率作为一个有效的人口级因果估计.
- 从异质性中产生的理论问题通常不会在实践中观察到.
结论:
- 危险比率是一种可靠的测量方法,对人口层面的推断具有因果有效性.
- 随机对照试验有效地管理潜在的混因素,确保可靠的危险比率解释.
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