Estimating the causal effects of exposure mixtures: a generalized propensity score method
In this study, we proposed npmvCBGPS to accurately estimate the causal effects of multiple exposure mixtures on health outcomes. Our approach is applicable across various domains, with a particular emphasis on environmental epidemiology.
Authors
- Kunfeng Qiu (ORCID: https://orcid.org/0000-0002-3185-9446)
- Liangpo Liu
- Yang Xiu-juan (ORCID: https://orcid.org/0000-0003-2665-4427)
- Ting Li (ORCID: https://orcid.org/0000-0001-9756-1442)
- Tong Wang (ORCID: https://orcid.org/0000-0002-9403-7167)
- Qian Gao (ORCID: https://orcid.org/0009-0002-9974-1273)
- Juping Wang
- Zhu Guiming
Institutions
- Shanxi Medical University (CN)
- Chinese University of Hong Kong (HK)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12874-025-02673-4
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China