Propensity score matching analysis of the association between physical activity and multimorbidity in middle-aged and elderly ChineseMultimorbidityCo-morbidityChronic diseasePhysical activityPSMCHARLSIn the context of an aging population, older adults increasingly face the challenge of managing multiple chronic ...
The patients were divided into two groups according to the presence of PE using propensity score matching (PSM). After PSM, one hundred and six patients (53 per group) with an average age of (77.3±10.9) years were enrolled. Adenocarcinoma was the most common histology in patients with PE ...
首先使用logit或probit回归等统计模型，根据一组预先选定的协变量来估计每个个体接受处理的概率，这个概率被称为倾向得分（Propensity Score）。然后，根据倾向得分将实验组和对照组的个体进行匹配，以确保两组在关键变量上的分布尽可能相似。PSM可以结合双重差分模型（DID）使用，形成PSM-DID模型，以处理更为复杂的因果推...
1983年,由PaulRosenbaum和DonaldRubin提出的倾向性评分匹配(propensityscorematching,PSM)分析可以减少研究中的偏差和混杂变量影响,以便对观察组和对照组进行更合理的比较。PSM是一种统计学方法,主要用于处理观察性临床研究或临床试验研究数据亚组分析,可有效降低混杂偏倚,并在整个研究设计阶段,得到类似随机对照研究的效果。...
1.16What is propensity score matching all about? Propensity score systems can be used in observational studies to decrease a confounding variable; an indication of bias. This technique is calledpropensity score matching(PSM). The PSM reputation has increased in the medical literature because improper ...
1983年,由Paul Rosenbaum和Donald Rubin提出的倾向性评分匹配(propensity score matching,PSM)分析可以减少研究中的偏差和混杂变量影响,以便对观察组和对照组进行更合理的比较。PSM是一种统计学方法,主要用于处理观察性临床研究或临床试验研究数据亚组分析,可有效降低混杂偏倚,并在整个研究设计阶段,得到类似随机对照研究的...
Propensity Score Matching, PSM Balancing Scores and Propensity Score 在unconfoundness 的条件下,我们通过控制观测到的协变量的差异来减少比较中的偏误,但是实践中很难用大量协变量来实现,Balancing Score 的目的是找到协变量的低维函数,以足够消除与 pre-treatment 变量相关的偏误。 Image Xi : the vector of cov...
Purpose The association between myopia and cognitive dysfunction among elderly adults was assessed by applying a Propensity Score Matching (PSM) approach. This is a statistical method which allows investigators to estimate causal treatment effects using observational or nonrandomised data. Methods The ...
propensity-score matched analysis 倾向性评分匹配(propensity score matching,PSM)是一种统计学方法,旨在减少研究中的偏差和混杂变量影响,以便对观察组和对照组进行更合理的比较。这种方法最早由Paul Rosenbaum和Donald Rubin在1983年提出,此后获得了快速发展并且在各个方面不断改进。 倾向性评分匹配的基本原理是用一个...
Thus, using a cross-sectional household survey from rural Bangladesh, we isolate the causal effect of adopting high yielding varieties (HYVs) of rice on poverty alleviation by using the “propensity-score matching” (PSM) method. Our aim is to contribute to the debate about the multiple ...