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相关概念视频

Experimental Designs01:16

Experimental Designs

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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Randomized Experiments01:13

Randomized Experiments

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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...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Study Design in Statistics01:15

Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
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Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
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Crossover Experiments01:16

Crossover Experiments

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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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相关实验视频

Updated: Jun 28, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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一个贝叶斯平台试验设计与混合控制基于多源可交换性建模的混合控制.

Wei Wei1, Ondrej Blaha1, Denise Esserman1

  • 1Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.

Statistics in medicine
|April 10, 2024
PubMed
概括

本研究介绍了使用多源可交换性建模 (MEM) 的贝叶斯平台试验设计,以有效地使用历史数据进行罕见疾病试验. 这种方法通过借鉴过去研究的信息来减少标准护理 (SOC) 部门的样本大小.

关键词:
贝叶斯适应性设计是贝叶斯的适应性设计.历史数据 历史数据有关信息的优先事项.试验平台 试验平台 试验平台罕见病是一种罕见的疾病.

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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
  • 罕见疾病研究 罕见疾病研究

背景情况:

  • 在临床试验中,特别是在罕见疾病中,将患者纳入标准护理 (SOC) 部门面临重大挑战,包括有限的资源,患者可用性和道德问题.
  • 历史试验往往提供了SOC治疗效果的记录良好的证据,提供了利用这些数据的机会.

研究的目的:

  • 提出一个新的贝叶斯平台试验设计,其中包含一个利用历史控制数据的混合控制臂.
  • 采用多源可交换性建模 (MEM) 框架进行高效的计算和数据源可交换性的正式评估.

主要方法:

  • 拟议的设计包括一个贝叶斯平台试验与混合控制臂.
  • 多源交换性建模 (MEM) 用于评估历史数据和并发数据的兼容性,以告知数据借用决策.
  • 进行了广泛的模拟研究,以评估拟议的混合动力设计的性能.

主要成果:

  • 拟议的基于MEM的混合设计显示,内部控制臂的样本大小显著减少.
  • 与其他贝叶斯方法相比,当历史数据和内部数据兼容时,设计有效地借用了更多的信息.
  • MEM提供了一种计算效率高的方法,用于评估不同数据源之间的可交换性.

结论:

  • 使用MEM提出的贝叶斯平台试验设计通过利用历史数据,为罕见疾病临床试验提供了一种高效和有效的策略.
  • 这种方法可以大幅减少样本规模,并改善内部控制部门的数据利用率.
  • MEM框架促进了知情的数据借用决策,提高了试验结果的可靠性.