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解释随机对照试验的解释

Pavlos Msaouel^1,2,3, Juhee Lee⁴, Peter F Thall⁵

¹Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

|October 14, 2023

概括

随机对照试验 (RCT) 产生方便样本,而不是代表性样本,限制了直接的人口推断. 然而,在RCT中随机分配使得有效的比较治疗效果估计成为可能.

科学领域:

临床试验方法论临床试验方法论
生物统计学生物统计学
有关因果推理的原因推理.

背景情况:

随机对照试验 (RCT) 是临床研究的基石,但其采样方法对一般化提出了挑战.
随机试验中的患者通常是顺序积累的,形成了一个方便样本,而不是目标人群的真正随机样本.

研究的目的:

批判性地检查随机对照试验 (RCT) 数据的推断的合理性和局限性.
区分在RCT中的随机分配和人口代表性的随机抽样.
澄清对于解释RCT和推进数据科学至关重要的基本概念.

主要方法:

临床试验中的随机化程序的分析.
使用因果图来说明采样和分配差异.
阐明研究方法和解释中的关键二分法 (例如,内部与外部有效性) 的概念.

主要成果:

随机试验样本是方便样本,限制直接推断到更广泛的患者群体.
来自RCT的特定组统计数据作为人口参数具有有限的意义.
在RCT中随机分配支持关于治疗效果的有效比较因果推断,假设可转移性.

结论:

虽然RCT可能不会为一般人群估计提供代表性样本,但它们的内部有效性允许对干预措施进行可靠的比较.
从RCT方便样本到目标人群的研究结果的可传输性是外部有效性的关键假设.
了解抽样,分配和推理之间的区别对于准确解释临床试验数据至关重要.

关键词:

阻止阻阻止阻值得信赖的时间间隔.可以概括的概括性.危险比率的危险比率.随机分配的随机分配是指随机分配.随机抽样随机抽样是指随机抽样.随机治疗分配随机治疗的分配.随机对照试验是随机对照试验.分层分层是分层的分层.便携性便携性便携性

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