相关实验视频
Updated: Jul 18, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
贝叶斯设计和分析使用保证的双臂集群随机试验
1School of Mathematics, Statistics & Physics, Newcastle University, Newcastle upon Tyne, UK.
Statistics in medicine
|August 20, 2023
概括
这项研究引入了贝叶斯的方法来设计集群随机对照试验 (cRCTs). 这种方法提高了样本大小的稳定性,并且可以减少试验大小,当先前的信息表明治疗效果更大时.
科学领域:
- 生物统计学 生物统计学
- 临床试验设计 临床试验设计
背景情况:
- 集群随机对照试验 (cRCT) 对于评估小组级干预措施至关重要.
- 准确的样本大小确定对于cRCT的统计能力和效率至关重要.
- 传统的样本大小计算方法可能对参数错误规格敏感.
研究的目的:
- 提出和评估一个贝叶斯的方法,以确定样本大小在两个手臂优势集群随机对照试验 (cRCTs) 连续结果.
- 将贝叶斯样本大小方法与传统方法进行比较,例如基于沃尔德测试的保证.
- 为准确的样本大小计算提供选择预先分布和蒙特卡洛抽样方案的指导.
主要方法:
- 使用贝叶斯推理与线性混合效应模型进行试验分析.
- 通过双循环蒙特卡洛模拟方案开发和评估样本大小选择的保证度量.
- 评估各种先前分配和蒙特卡洛样本大小对保证和样本大小确定的影响.
主要成果:
- 贝叶斯方法提供了选择的样本大小对参数错误规范的更强大的稳定性.
- 减少样本大小的可能性,当先前的信息表明临床上重要的治疗效应时.
- 在中风后失禁中,cRCT的样本大小计算中的应用已被证明.
结论:
- 拟议的贝叶斯设计和分析框架为cRCT中样本大小的确定提供了强大且潜在更有效的方法.
- 这种方法可以导致更可靠的样本大小估计,特别是在结合先前知识时.
- 贝叶斯方法特别有利,当先前的信息表明治疗效果可能比临床重要差异最小更大时.
相关概念视频
Study Design in Statistics
8.2K
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...
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...
8.2K
Randomized Experiments
7.0K
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...
Simple randomization
Simple...
7.0K
Cluster Sampling Method
12.0K
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...
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...
12.0K
Comparing the Survival Analysis of Two or More Groups
222
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
222
Experimental Designs
11.5K
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...
11.5K
Behavioral Genetics and Its Designs
407
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...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
407

