Estimation of average treatment effect based on a multi-index propensity score

BACKGROUND: Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias when using observational data to estimate the average treatment effect (ATE). In...

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Detalles Bibliográficos
Autores principales: Xu, Jiaqin, Wei, Kecheng, Wang, Ce, Huang, Chen, Xue, Yaxin, Zhang, Rui, Qin, Guoyou, Yu, Yongfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795597/
https://www.ncbi.nlm.nih.gov/pubmed/36577950
http://dx.doi.org/10.1186/s12874-022-01822-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795597/
https://www.ncbi.nlm.nih.gov/pubmed/36577950
http://dx.doi.org/10.1186/s12874-022-01822-3

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