Modeling Time-varying Dispersion to Improve Estimation of the Short-term Health Effect of Environmental Exposure in a Time-series Design
When the outcome exhibits large dispersion in a time-series analysis, allowing for covariate-dependent time-varying dispersion can improve inference, particularly by increasing estimation precision.
Authors
- Howard H. Chang (ORCID: https://orcid.org/0000-0002-6316-1640)
- Stefanie Ebelt (ORCID: https://orcid.org/0000-0003-4713-2337)
- Noah Scovronick (ORCID: https://orcid.org/0000-0003-1410-3337)
- Danlu Zhang (ORCID: https://orcid.org/0009-0001-9233-2162)
Institutions
- Emory University (US)
Publication Details
- Journal
- Epidemiology
- Published
- 2025-03-31
- DOI
- https://doi.org/10.1097/ede.0000000000001856
- Citations
- 1
- Primary Topic
- Air Quality and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.20