Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Random Error01:04

Random Error

9.1K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.1K
Random Variables01:09

Random Variables

17.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.5K
Randomized Experiments01:13

Randomized Experiments

8.9K
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...
8.9K
Random and Systematic Errors01:20

Random and Systematic Errors

14.5K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.5K
Random Sampling Method01:09

Random Sampling Method

14.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
14.2K
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

241
Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
241

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The SMART-of-1 approach to personalized treatment trials.

Journal of biopharmaceutical statistics·2026
Same author

CXCR4-targeted [<sup>68</sup>Ga]Ga-PentixaFor PET/CT improves staging and alters management in marginal zone lymphoma: a prospectively recruited head-to-head study with [<sup>18</sup>F]FDG.

European journal of nuclear medicine and molecular imaging·2026
Same author

Designing a human-AI collaborative model for precision teaching in undergraduate physiology laboratory education: a modified Delphi study.

Advances in physiology education·2026
Same author

Non-coding RNAs as master regulators of ferroptosis in cancer: mechanisms and clinical implications.

Molecular cancer·2026
Same author

Performance of a rapid, visual fingerstick serology self-test for Helicobacter pylori detection and typing: A prospective multicenter diagnostic accuracy study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026
Same author

Combat injury, pain, and mental health outcomes in US Army service members.

Psychological medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jan 23, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.5K

贝叶斯响应-适应性随机化对集群随机对照试验的贝叶斯响应-适应性随机化

Yunyi Liu1, Maile Young Karris2, Sonia Jain1

  • 1Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, California, USA.

Statistics in medicine
|January 22, 2026
PubMed
概括
此摘要是机器生成的。

这项研究介绍了贝叶斯适应性随机化方法,用于集群随机试验. 这种方法有效地将更多的群体分配给有效的治疗方法,改善试验伦理和资源使用.

关键词:
贝叶斯响应 - 适应性随机化马尔科夫连锁蒙特卡罗的蒙特卡罗是一个普森采样采样 普森采样集群随机试验是指一个集群随机试验.

更多相关视频

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.2K
Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
03:53

Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

Published on: March 15, 2024

2.9K

相关实验视频

Last Updated: Jan 23, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.5K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.2K
Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
03:53

Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

Published on: March 15, 2024

2.9K

科学领域:

  • 生物统计学 生物统计学
  • 临床试验方法论 临床试验方法论
  • 公共卫生研究 公共卫生研究

背景情况:

  • 集群随机对照试验 (CRCT) 在个人随机化不切实际或干预是以小组为基础时至关重要.
  • 标准CRCT随机化可能是低效的,导致资源紧张和道德问题,如果被试被分配到低于最佳的手臂.
  • 适应性随机化为优化CRCT治疗分配提供了一个潜在的解决方案.

研究的目的:

  • 提出一个新的贝叶斯响应适应性随机化设计用于使用普森采样的CRCT.
  • 根据后面的概率,纳入早期停止规则的有效性和徒劳性.
  • 评估性能,并将拟议的自适应设计与标准CRCT设计进行比较.

主要方法:

  • 一个贝叶斯响应适应性随机化设计,采用普森采样和马尔科夫链蒙特卡洛 (MCMC) 采样.
  • 根据治疗效应的中间后部分布,对治疗臂进行集群的动态分配.
  • 实施早期停止规则的有效性和徒劳性,使用预规定的后方概率值.

主要成果:

  • 与模拟研究中的标准CRCT设计相比,拟议的自适应设计证明了提高效率和伦理考虑.
  • 该方法优先将更多的集群分配给更有效的干预.
  • 强大的统计能力和受控的假阳性率在各种设置中得到维持,包括不同的集群内相关系数,集群大小和效果大小.

结论:

  • 使用普森抽样的贝叶斯响应适应性随机化为CRCT提供了一种高效和道德的方法.
  • 这种自适应设计通过动态分配集群到优质治疗来优化资源配置.
  • 该方法对改善集群随机试验的进行有希望,这是基于HIV行为试验的模拟证明的.