分析使用GLMM,GEE1,GEE2和QIF的集群随机对照试验:来自四个案例研究的结果
Bright C Offorha1, Stephen J Walters2, Richard M Jacques2
1Division of Population Health, School of Medicine & Population Health, University of Sheffield, Sheffield, UK. bcofforha1@sheffield.ac.uk.
BMC medical research methodology
|December 13, 2023
概括
本研究比较了分析集群随机对照试验 (cRCT) 的四种统计方法. 虽然方法通常一致,但二次推理函数在cRCT分析中需要谨慎使用少数集群.
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
- 流行病学 流行病学
背景情况:
- 集群随机对照试验 (cRCT) 需要专门的统计分析,因为集群中的相关结果.
- 现有的文献提出了各种建模方法,但对于它们在cRCTs中的应用需要实际指导.
研究的目的:
- 为分析集群随机对照试验 (cRCTs) 提供实际指导和建议.
- 为了比较四种不同的cRCT数据统计建模方法的性能.
主要方法:
- 文献审查确定了四种建模方法:通用线性混合模型 (GLMM),通用估计方程 (GEE) (第一和第二顺序) 和二次推理函数 (QIF).
- 这些方法应用于cRCT的四个案例研究,其中有不同数量的集群和参与者,分析了连续和二进制结果.
- 分析使用R和SAS统计数据包进行.
主要成果:
- 集群内相关系数 (ICC) 估计值一般较低 (<0.05),与初级保健和社区基的cRCTs一致.
- 大多数方法在案例研究中产生了类似的结果.
- 在一些分析中,二次推理函数 (QIF) 与GLMM和GEE相比产生了不同的结果,特别是在小到中等数量的集群中.
结论:
- 在大多数场景中,四种建模方法在cRCT分析中显示了可比的结果.
- 在少数集群的试验中使用二次推理函数 (QIF) 时建议谨慎使用;建议进行小样本校正.
- 需要进行进一步的模拟研究,以全面评估cRCT这些统计方法的性能.
相关概念视频
01:20Cluster Sampling Method
11.9K
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...
11.9K
01:13Randomized 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
01:17Cochran's Q Test
350
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
350
01:23Sampling Plans
187
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
187
02:01Group Design
8.9K
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...
8.9K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
130
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
130