A doubly robust estimator for continuous treatments in high dimensions
In this study, we proposed GOALDeR as an advanced GPS method for causal inference in high dimensions, and empirically demonstrated that GOALDeR is doubly robust, with improved accuracy and precision compared to existing methods. The R package is available at https://github.com/QianGao-SXMU/GOALDeR .
Authors
- Rengcun Fang
- Jiale Wang
- Tong Wang (ORCID: https://orcid.org/0000-0002-9403-7167)
- Qian Gao (ORCID: https://orcid.org/0009-0002-9974-1273)
- Hongwei Sun (ORCID: https://orcid.org/0000-0001-7645-8593)
Institutions
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Shanxi Medical University (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1186/s12874-025-02488-3
- Citations
- 1
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.63
Funders
- National Natural Science Foundation of China