Statistical Methods for Chemical Mixtures: A Roadmap for Practitioners Using Simulation Studies and a Sample Data Analysis in the PROTECT Cohort
We develop an integrated R package "CompMix" that provides a platform for mixtures analysis where the practitioners can implement a pipeline that includes several approaches for mixtures analysis. Our study offers guidelines for selecting appropriate statistical methods for addressing specific scientific questions related to mixtures research. We identify critical gaps where new and better methods are needed. https://doi.org/10.1289/EHP15305.
Authors
- John D. Meeker (ORCID: https://orcid.org/0000-0001-8357-5085)
- Max T. Aung (ORCID: https://orcid.org/0000-0001-5541-5447)
- Amber L. Cathey (ORCID: https://orcid.org/0000-0003-4562-7053)
- Bhramar Mukherjee (ORCID: https://orcid.org/0000-0003-0118-4561)
- Jonathan Boss (ORCID: https://orcid.org/0000-0001-5285-3038)
- Wei Hao (ORCID: https://orcid.org/0000-0002-5367-1479)
Institutions
- University of Michigan (US)
- Yale University (US)
Publication Details
- Journal
- Environmental Health Perspectives
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1289/ehp15305
- Citations
- 9
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 23.67