An application of the augmented synthetic control method within a target trial framework: the case of the soda tax policy in California
In this study, we illustrated the use of the augmented synthetic control methodology within a target trial framework with group-level longitudinal data. Our estimates of the impact of SSB tax policy on the obesity prevalence in California were imprecise.
Authors
- Fan Zhao (ORCID: https://orcid.org/0000-0002-1261-5841)
- Risha Gidwani (ORCID: https://orcid.org/0000-0002-3548-2332)
- May C Wang (ORCID: https://orcid.org/0000-0002-8682-9789)
- Roch A. Nianogo (ORCID: https://orcid.org/0000-0001-5932-6169)
- Liwei Chen (ORCID: https://orcid.org/0000-0002-8458-5661)
Institutions
- RAND Corporation (US)
- University of California, Los Angeles (US)
- UCLA Health (US)
- China Population and Development Research Center (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1186/s12889-025-22526-5
- Citations
- 2
- Primary Topic
- Obesity, Physical Activity, Diet
- Type
- article
- Field-Weighted Citation Impact
- 3.76
Funders
- National Institutes of Health
- National Institute on Minority Health and Health Disparities