- Title
- Examining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts
- Creators
- Kristen Lyall - Drexel UniversityJuliette Rando - Drexel UniversitySiwen Wang - Harvard UniversityGhassan B. Hamra - Bloomberg (United States)Jorge Chavarro - Harvard UniversityMarc WeisskopfLisa A. Croen - Kaiser PermanenteM Daniele Fallin - Emory UniversityIrva Hertz-Picciotto - University of California, DavisHeather E. Volk - Bloomberg (United States)Rebecca J. Schmidt - University of California, DavisCraig Newschaffer - Pennsylvania State University
- Publication Details
- Current developments in nutrition, p101978
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:001063352800001
- Scopus ID
- 2-s2.0-85167503282
- Other Identifier
- 991020848664104721
Journal article
Examining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts
Current developments in nutrition, p101978
Jul 2023
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Nutrition & Dietetics