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相关概念视频

Randomized Experiments01:13

Randomized Experiments

7.2K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
7.2K
Group Design02:01

Group Design

9.6K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.6K
Cluster Sampling Method01:20

Cluster Sampling Method

12.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.7K
Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.6K
Odds Ratio01:09

Odds Ratio

258
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
258
Crossover Experiments01:16

Crossover Experiments

3.0K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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Updated: Sep 9, 2025

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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一个随机化策略集群随机化受控试验与可变的手术室可用性

Sheau-Chiann Chen1, Heidi Chen1, Rafael Paez2

  • 1Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.

Contemporary clinical trials
|August 30, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过分层操作室分配来优化诊断支气管镜试验. 一种新的随机化方法显著减少了患者分配失衡,改善了临床结果比较的资源分配.

关键词:
区块的大小一个集群随机化的 permuted 块简单的随机化阶层化

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科学领域:

  • 医学研究方法
  • 肺病学
  • 临床试验设计

背景情况:

  • 比较诊断支气管镜平台需要强大的试验设计.
  • 在手术室 (OR) 和设备的资源限制可能会挑战患者的随机化.
  • 集群随机对照试验 (cRCT) 适合实用性比较,但需要谨慎的分配策略.

研究的目的:

  • 将两个诊断支气管镜方法 (A平台和B平台) 的临床结果进行比较.
  • 根据资源限制,为集群随机对照试验 (cRCT) 制定和评估有效的随机化策略.
  • 为了尽量减少两个平台之间的患者分配不平衡.

主要方法:

  • 一个单中心的,开放的,务实的,非劣势的cRCT被设计出来.
  • 集群被定义为手术室 (OR) 日.
  • 通过OR可用性分层的 permuted-block随机化方法进行模拟和评估分配平衡.

主要成果:

  • 根据OR可用性进行分层,与按工作日分层进行分层相比,显著降低了分配失衡 (平均失衡=0.006,SD=0.690).
  • 拟议的方法有效地减少了A平台和B平台之间的患者招募差异.
  • 该战略优化了有限的OR和支气管镜平台资源的分配.

结论:

  • 通过OR可用性分层的 permuted-block随机化方法是资源有限的cRCT的有效策略.
  • 这种创新设计改善了诊断支气管镜试验中的患者分配的平衡.
  • 这些发现支持优化资源分配和实用试验中可靠的临床结果比较.