Issues in outcomes research: An overview of randomization techniques for clinical trials
Issues in outcomes research: An overview of randomization techniques for clinical trials
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DOI：
10.4085/1062-6050-43.2.215
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发表时间：
2008-03-01
影响因子：
3.3
通讯作者：
Park, Jae-Hyeon
中科院分区：
文献类型：
--
作者：
Kang, Minsoo;Ragan, Brian G.;Park, Jae-Hyeon
目的：回顾和描述临床试验中使用的随机化技术，包括简单、区组、分层和协变量自适应techniques.Background：临床试验需要建立许多运动训练程序的治疗效果。在过去，我们依赖于可疑的科学价值的证据来帮助确定治疗选择。在运动训练专业中，对循证实践的兴趣正在迅速增长，更加强调了良好的临床试验的重要性。临床试验的一个关键组成部分是将参与者随机分配到对照组和治疗组。虽然随机化似乎是一个简单的概念，但平衡样本量和先验控制协变量的影响是重要的。各种技术已被开发来解释这些问题，包括块，分层随机化，协变量adaptive techniques.优点：运动训练研究人员和学术临床医生可以使用本文中提出的信息，以更好地进行和解释临床试验的结果。实施这些技术将增加运动医学临床试验结果的力量和有效性，最终将提高所提供的护理质量。
Objective: To review and describe randomization techniques used in clinical trials, including simple, block, stratified, and covariate adaptive techniques.Background: Clinical trials are required to establish treatment efficacy of many athletic training procedures. In the past, we have relied on evidence of questionable scientific merit to aid the determination of treatment choices. Interest in evidence-based practice is growing rapidly within the athletic training profession, placing greater emphasis on the importance of well-conducted clinical trials. One critical component of clinical trials that strengthens results is random assignment of participants to control and treatment groups. Although randomization appears to be a simple concept, issues of balancing sample sizes and controlling the influence of covariates a priori are important. Various techniques have been developed to account for these issues, including block, stratified randomization, and covariate adaptive techniques.Advantages: Athletic training researchers and scholarly clinicians can use the information presented in this article to better conduct and interpret the results of clinical trials. Implementing these techniques will increase the power and validity of findings of athletic medicine clinical trials, which will ultimately improve the quality of care provided.