Research of Generalized Boosting Model Combined with Propensity Score Overlap Weighting

VernacularTitle:基于广义增强模型的倾向性评分重叠权重加权方法研究
Author: Boxiang TU ¹ ; Yingyi QIN ; Xiao XU
Author Information

1. 海军军医大学军队卫生统计学教研室(200433)
Keywords: Propensity score; Overlap weighting; Generalized boosted model
From: Chinese Journal of Health Statistics 2024;41(5):676-681
CountryChina
Language:Chinese
Abstract: Objective This study constructed the generalized boosting model combined with propensity score overlap weighting(GBM-OW).Methods Within the situations that there are complex relationships between confounders and treatment factors,and different sample size and different propensity score overlap,we explored the performance of GBM-OW model in balance confounders and estimate effect.And compared with multivariate adjusted model and other three propensity score weighting models.Results and Conclusion From the simulation results we concluded that when the relationship between variables is complex,the sample size is large,and the propensity score value overlap is small,the GBM-OW model has a good performance in all aspects and can be used in observational studies.