Results 11 to 20 of about 5,107,449 (167)

Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.

PLoS ONE, 2021
Challenges arise in researching health effects associated with chemical mixtures. Several methods have recently been proposed for estimating the association between health outcomes and exposure to chemical mixtures, but a formal simulation study ...
Lauren Hoskovec, Wande Benka-Coker, Rachel Severson, Sheryl Magzamen, Ander Wilson   +4 more
doaj   +2 more sources

Using three statistical methods to analyze the associations between a mixture of multi-nutrients and risk of mild cognitive impairment in an elderly population in Northern China

Scientific Reports
Few studies have considered nutrients as a mixture and their impact on Mild Cognitive Impairment (MCI). The generalized linear regression (GLM), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models are fitted to ...
Xian Gao, Yan Wang, Qingxia Li, Xin Huang, Yan Sun, Yutian Zhou, Huichen Zhu, Shiyao Liu, Yuxia Ma   +8 more
doaj   +2 more sources

Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]

, 2006
It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Rogers, S., Girolami, M.
core   +8 more sources

Dietary Selenium and β-Carotene Contribute to the Inverse Association Between Antioxidant Mixtures and Stroke: Evidence From NHANES Using Mixture Models and Machine Learning. [PDF]

Food Sci Nutr
In this NHANES study of 37,746 participants, we examined the joint association of six dietary antioxidant‐related nutrients (vitamins A, C, and E, β‐carotene, selenium, and zinc) with stroke, applying 1:1 propensity score matching (matched sub‐cohort, n = 2750), mixture models (WQS, qgcomp, and BKMR), and machine learning with SHAP interpretation ...
Zhong A, Deng X, Tan Y, Lai R, Lv X, Zhou X, Zhu J.   +6 more
europepmc   +2 more sources

Associations between blood essential metal mixture and serum uric acid: a cross-sectional study

Frontiers in Public Health, 2023
IntroductionAlthough several studies have explored the associations between single essential metals and serum uric acid (SUA), the study about the essential metal mixture and the interactions of metals for hyperuricemia remains unclear.MethodsWe ...
Dongmei Wang, Yue Li, Hualin Duan, Shuting Zhang, Lingling Liu, Yajun He, Xingying Chen, Yuqi Jiang, Qintao Ma, Genfeng Yu, Siyang Liu, Nanfang Yao, Yongqian Liang, Xu Lin, Lan Liu, Heng Wan, Jie Shen   +16 more
doaj   +1 more source

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization [PDF]

, 2004
The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model generalization capability.
Hong, X., Harris, C.J., Chen, S.
core   +2 more sources

An orthogonal forward regression technique for sparse kernel density estimation [PDF]

, 2008
Using the classical Parzen window (PW) estimate as the desired response, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density (SKD) estimates ...
Chen, Sheng, Hong, X., Harris, Chris J.
core   +2 more sources

Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort

Environment International, 2020
Background: The infant microbiome contributes to health status across the lifespan, but environmental factors affecting microbial communities are poorly understood, particularly when toxic and essential elements interact.
Hannah E. Laue, Yuka Moroishi, Brian P. Jackson, Thomas J. Palys, Juliette C. Madan, Margaret R. Karagas   +5 more
doaj   +1 more source

Hierarchic Bayesian models for kernel learning [PDF]

, 2005
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance when compared to that obtained from any single data source.
Rogers, S., Mark Girolami, Girolami, M., Simon Rogers   +3 more
core   +1 more source

The association between urinary phthalate metabolites and serum thyroid function in US adolescents

Scientific Reports, 2023
The aim was to investigate the association between mixed exposure to phthalates and serum thyroid function among US adolescents. The study used 2007–2008 survey data from the National Health and Nutrition Examination Survey (NHANES).
Shi-ting Xiang, Yuhan Cao, Jie Dong, Chao Li, Jun Qiu, Xun Li   +5 more
doaj   +1 more source