Assessing bias in measuring power outage exposure with simulations
Our results show that while some bias is likely, sensitivity analyses and careful choices of health-relevant duration can help researchers leverage available power outage data to produce low bias effect estimates in epidemiologic studies of power outages and health outcomes.
Authors
- Heather McBrien (ORCID: https://orcid.org/0000-0003-1587-6614)
- Marianthi‐Anna Kioumourtzoglou (ORCID: https://orcid.org/0000-0001-5710-4992)
- Joan A. Casey (ORCID: https://orcid.org/0000-0002-9809-4695)
- Daniel Mork (ORCID: https://orcid.org/0000-0002-7924-0706)
Institutions
- Harvard University (US)
- University of Washington (US)
- Columbia University (US)
Publication Details
- Journal
- Environmental Epidemiology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1097/ee9.0000000000000403
- Citations
- 1
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.20