在模仿随机试验的比较有效性研究中进行分层分析
Phyo T Htoo1, Robert J Glynn1, Shirley Wang1
1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Pharmacoepidemiology and drug safety
|October 25, 2023
概括
在观察性研究中,预分层倾向得分匹配 (PSM) 提高了准确性. 这种方法给出了接近随机试验的结果,差异仅略有增加,提高了现实世界数据分析的可靠性.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 药物监督 药物监督 药物监督
背景情况:
- 观察性研究经常使用倾向得分匹配 (PSM) 来模拟随机临床试验 (RCT).
- 通过关键结果预测器进行初步分层,可以通过模仿分层随机化来增强PSM.
- 这种方法可以减少偏差和差异,减少对严格建模假设的依赖.
研究的目的:
- 评估预分层对观察性队列研究的倾向性得分匹配 (PSM) 的影响.
- 用现实数据比较分层PSM与总队列PSM的效果估计.
- 评估预分层是否使观察结果更接近已建立的随机对照试验 (RCT) 证据.
主要方法:
- 分析了两项现实观察性研究,涉及2型糖尿病的医疗保险受益者.
- 倾向性得分 (PS) 被估计,并使用143个暴露前共变量进行1:1匹配.
- 总队列PS匹配和分层PS匹配 (根据基线心血管疾病分层) 进行了比较.
主要成果:
- 与总队列PS匹配相比,分层PS匹配的危险比率 (HRs) 接近于零.
- 对于empagliflozin和DPP-4抑制剂,HRs在总队列PSM中高出13%.
- 对于empagliflozin与GLP-1RA相比,HRs在总队列PSM中高出9%,差异增加最小 (2% - 3%).
结论:
- 分层的PS匹配产生了效果估计,与RCT预期的结果更加一致.
- 这种方法通过减少混偏差来提高观测数据的可靠性.
- 与分层PSM相关的最小变异增加是一个值得的权衡,以提高准确性.
关键词:
动脉样硬化心血管疾病比较的有效性比较的有效性.艾姆帕格利夫洛辛 (Empagliflozin) 是一种流行病学方法 流行病学方法倾向性得分是指倾向性得分.目标试验是针对性的试验.2 型糖尿病 2 型糖尿病更多相关视频
08:27Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
6.9K
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
相关概念视频
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
01:20Comparing the Survival Analysis of Two or More Groups
201
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...
201
01:16Stratified Sampling Method
12.1K
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. 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.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K
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