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Associations of endocrine disrupting chemicals with anogenital distance across infancy.

J Clin Endocrinol Metab
Cinzori ME, Ryva BA, Murphy A, Gardiner JC, Schantz SL, Strakovsky RS.   +5 more
europepmc   +1 more source

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Mixture effects of multiple exposures on driving safety at tunnel entrances and exits: A Bayesian kernel machine regression (BKMR) method

Accident Analysis & Prevention
Tunnel entrances and exits are widely recognized as safety-critical zones due to abrupt environmental transitions. However, most prior work examines single domains (e.g., spatial or lighting) and often assumes linear, additive effects, leaving mixed, non-linear and interactive association patterns insufficiently understood.
Congcong Bai, Yifan Luo, Wei Wang, Kimihiko Nakano, Sheng Jin, Wenbin Yao, Xiaopeng Song   +6 more
openaire   +4 more sources

Predicting and Associating of Spectral Feature Nutritional Intake Level Using Bayesian Kernel Machine Regression (BKMR) Method

2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
P. Jeyanthi, R. Durga
openaire   +3 more sources

1263-P: Associations of Metal and Element Mixture with Gestational Diabetes Mellitus (GDM) in a Racially and Ethnically Diverse U.S. Birth Cohort—A Bayesian Kernel Machine Regression (BKMR) Analysis

Diabetes
Introduction and Objective: Metals may increase the risk of GDM, while certain elements may be protective. We examined the associations of a mixture of metals and elements during pregnancy with GDM risk in a predominantly Black and Hispanic cohort. Methods: In the Boston Birth Cohort, we measured Pb, Hg, Cd, Se, and Mn in maternal red ...
ZEYU LI, GUOYING WANG, XIUMEI HONG, STEPHEN P. JURASCHEK, LONG H. NGO, MINGYU ZHANG   +5 more
openaire   +1 more source

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

Environmental Research, 2021
Aimin Chen, Patricia A Janssen, Joseph Braun   +2 more
exaly  

Mixture Analyses on Polycyclic Aromatic Hydrocarbons: An Example Using Semen Quality Biomarkers and Bayesian Kernel Machine Regression

Polycyclic Aromatic Compounds, 2022
Sinjini Sikdar, Hueiwang Anna Jeng
exaly  

Combined Effects of Multiple Per- and Polyfluoroalkyl Substances Exposure on Allostatic Load Using Bayesian Kernel Machine Regression

International Journal of Environmental Research and Public Health, 2023
Emmanuel Obeng-Gyasi
exaly  

Single and Mixed Effects of Metallic Elements in Maternal Serum During Pregnancy on Risk for Fetal Neural Tube Defects: A Bayesian Kernel Regression Approach

Environmental Pollution, 2021
Jufen Liu, Lei Jin, Chenghong Yin
exaly  

Reduction of Mitochondrial DNA Copy Number in Peripheral Blood Is Related to Polycyclic Aromatic Hydrocarbons Exposure in Coke Oven Workers: Bayesian Kernel Machine Regression

Environmental Pollution, 2020
Jin Yang, Aimin Yang, Jisheng Nie
exaly