适应性随机化方法以防止中风试验中群体大小和共变不平衡的极端情况
Dominic Italiano1,2, Bruce Campbell2,3, Michael D Hill4
1Melbourne Medical School (D.I., H.T.J., L.C.), University of Melbourne, Parkville, Victoria, Australia.
Stroke
|June 26, 2024
概括
一种新的自适应随机化方法,CSSize-MSB,在中风试验中改善了组大小平衡,而不影响随机性或共变量平衡. 这提高了临床试验设计,以更好地分配患者.
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
- 神经学 神经学
背景情况:
- 在多中心临床试验中,最佳的随机化需要保持分配的随机性,平衡组大小,确保共变量平衡,以及易于实施.
- 现有的共同尺度最小足够平衡 (CS-MSB) 适应性随机平衡共变量并保持随机性,但不是组大小.
- 超急性中风试验需要强大的随机化来有效分配治疗.
研究的目的:
- 扩展CS-MSB适应性随机化方法,同时实现组大小平衡和共变量平衡,同时保持分配随机性.
- 在超急性中风试验中评估新型CSSize-MSB适应性随机化方法的性能.
主要方法:
- 一项全因数在模拟研究将拟议的CSSize-MSB方法与原来的CS-MSB方法进行了比较.
- 绩效是根据组大小平衡,共变量平衡和分配随机性来评估的.
- 来自四个现有的超急性中风试验的数据被用来评估CSSize-MSB在各种样本大小和共同变量特征. 一个离散事件模拟模型可视化了随机化逻辑.
主要成果:
- 在控制群体大小不平衡方面,CSSize-MSB算法在控制群体大小不平衡方面始终超过CS-MSB算法.
- 通过CSSize-MSB.B.,维持了同变量平衡和分配随机性的可比水平.
- 在初始失衡较大的试验中,性能改善更为明显,并且在各种试验数据集中一致.
结论:
- 适应性CSSize-MSB算法有效地控制了在各种设置中超急性中风试验中的组大小不平衡.
- 该方法的逻辑很容易通过动态可视化向临床医生传达,从而促进实际实施.
更多相关视频
09:52Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
17.2K
05:28Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
Published on: October 11, 2024
554
相关概念视频
01:13Randomized Experiments
6.9K
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...
Simple randomization
Simple...
6.9K
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
01:11Blinding
2.4K
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.
2.4K
01:16Crossover Experiments
2.8K
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.
2.8K
01:25Strategies for Assessing and Addressing Confounding
92
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
92
02:07Blind Procedures
10.6K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
10.6K