随机化
星团(航天器)
单位(环理论)
计算机科学
统计
心理学
数学
医学
临床试验
数学教育
程序设计语言
内科学
出处
期刊:NEJM evidence
[New England Journal of Medicine]
日期:2024-03-26
卷期号:3 (4)
摘要
Randomized trials are widely regarded as providing the most robust evidence for guiding patient management and informing public health policy. A typical individual-randomized trial (IRT) randomly assigns individual participants into treatment and control groups and then compares their outcomes to estimate the intervention effect.1 However, sometimes individual randomization may not be feasible or optimal, prompting the consideration of a cluster-randomized trial (CRT), where groups of individuals are randomly assigned to different treatment conditions.2 When aiming to assess the broad population effects of an intervention, a cluster-randomized design is often used. In certain scenarios, the intervention is designed to be delivered to groups of individuals.
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