新的三臂等候名单受控试验设计与混合效应分析一起提高了治疗效果估计器的精度
Xiangmei Ma1, Yin Bun Cheung1,2,3
1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Journal of biopharmaceutical statistics
|November 6, 2023
概括
新的三臂等候名单受控 (WLC) 试验设计和分析方法在不增加参与者数量的情况下提高了统计能力. 这些创新方法提高了治疗效果估计的精度,并为治疗时间提供了更深入的见解.
科学领域:
- 临床试验设计 临床试验设计
- 生物统计学 生物统计学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 传统的等候名单受控 (WLC) 试验在统计能力上有局限性,原因是试验臂的限制和重复测量.
- 目前的WLC试验分析通常集中在单个时间点上,限制了对随时间推移治疗效应的理解.
研究的目的:
- 提出新的三臂WLC试验设计和一个互补的混合效应分析框架.
- 与传统的WLC设计相比,提高治疗效果估计的统计能力和精度.
- 为了能够在干预后的多个时间点评估治疗效果.
主要方法:
- 开发两个不同的三臂WLC试验设计.
- 实施一种混合效应分析框架,能够估计最多三种治疗效应参数.
- 分析推导和基于模拟的估计器精度的评估对拟议与传统设计的精度.
主要成果:
- 拟议的三臂WLC设计和分析框架显著提高了治疗效果估计器的精度.
- 与传统的双臂WLC设计相比,这些新的方法可以在较少的参与者中实现目标统计能力.
- 分析框架为治疗开始后的一,两和三个时间段的治疗效果提供了洞察力.
结论:
- 当WLC试验适当时,拟议的三臂WLC设计代表了对现有两臂设计的有价值的替代方案.
- 这些进步提供了更高的统计效率和更全面的了解随时间推移干预效应.
- 这些方法特别适用于对老年人的认知训练等研究,旨在优化试验设计和分析.
更多相关视频
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.5K
13:54A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
Published on: August 18, 2023
4.6K
相关概念视频
01:20Comparing the Survival Analysis of Two or More Groups
200
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...
200
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
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
133
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,...
133
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
01:16Crossover Experiments
2.9K
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.
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.
2.9K
01:11Blinding
2.5K
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.
2.5K