Prenatal Exposure to Endocrine Disrupting Chemical Mixtures and Infant Birth Weight: a Bayesian Analysis using Kernel Machine Regression

Title
Prenatal Exposure to Endocrine Disrupting Chemical Mixtures and Infant Birth Weight: a Bayesian Analysis using Kernel Machine Regression
Authors
Keywords
Fetal growth, Birth weight, Endocrine disrupting chemicals, Chemical mixtures, Bayesian kernel machine regression (BKMR)
Journal
ENVIRONMENTAL RESEARCH
Volume -, Issue -, Pages 110749
Publisher
Elsevier BV
Online
2021-01-17
DOI
10.1016/j.envres.2021.110749

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started