Introduction and application of propensity score weighting method in medical research
10.3969/j.issn.1672-8467.2024.04.025
- VernacularTitle:倾向性评分加权方法简介及其在医学研究领域中的应用
- Author:
Chen HUANG
1
;
Yong-Fu YU
;
Guo-You QIN
Author Information
1. 复旦大学公共卫生学院生物统计学教研室 上海 200032
- Keywords:
propensity score;
weighting;
percutaneous coronary intervention;
mortality
- From:
Fudan University Journal of Medical Sciences
2024;51(4):638-642
- CountryChina
- Language:Chinese
-
Abstract:
Propensity score weighting methods are crucial tools for adjusting confounding and conducting causal inference in observational studies.This paper introduces various propensity score weighting methods,and details the key features of each to aid researchers in selecting the most suitable method for their analyses.Additionally,the application of these methods in the fields of medicine and public health is demonstrated through an example data analysis.The example is based on data from 996 patients who underwent percutaneous coronary intervention(PCI).Different propensity score weighting methods are used to explore the effect of PCI combined with abciximab on six-month post-operative survival rates.The results indicate that different propensity score weighting methods provide treatment effect estimates tailored to different inference goals,highlighting the importance of selecting the appropriate method based on the specific inference objective.Propensity score weighting methods enhance the balance of covariate distribution between treatment and control groups,making them powerful tools for adjusting confounding factors in observational studies.Their applicability and value in medical and public health research are significant.
