Results 1 to 10 of about 5,107,449 (167)

Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR) [PDF]

Chemosphere, 2022
It is well documented that fine particles matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) are associated with a range of adverse health outcomes. However, most epidemiologic studies have focused on understanding their additive effects, despite that individuals are exposed to multiple air pollutants simultaneously that are likely correlated with ...
Haomin Li, Wenying Deng, Raphael Small, Joel Schwartz, Jeremiah Liu, Liuhua Shi   +5 more
europepmc   +5 more sources

Sex-Specific Effects of Combined Heavy Metal Exposure on Blood Pressure: A Bayesian Kernel Machine Regression Analysis

Atmosphere
High blood pressure (BP) is a significant risk factor for heart and brain diseases. Previous studies have suggested that heavy metals including lead (Pb), mercury (Hg), and cadmium (Cd) contribute to hypertension. This study examined the combined effects
In-Gwon Kim, Seonmi Hong, Sojeong Yim, Jang-Hun Jeong, Kyunghi Choi, Ju-Hee Lee, Young-Seoub Hong, Sang-Yong Eom, Heon Kim, Yong-Dae Kim   +9 more
doaj   +4 more sources

Comparative efficacy of three Bayesian variable selection methods in the context of weight loss in obese women [PDF]

Frontiers in Nutrition, 2023
The use of high-dimensional data has expanded in many fields, including in clinical research, thus making variable selection methods increasingly important compared to traditional statistical approaches.
Nicola Pesenti, Piero Quatto, Elena Colicino, Raffaella Cancello, Massimo Scacchi, Massimo Scacchi, Antonella Zambon, Antonella Zambon   +7 more
doaj   +4 more sources

Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees [PDF]

Discover Analytics
Modeling nonlinear relationships is a fundamental challenge in statistical analysis, particularly when predictors exhibit complex and interacting effects on outcomes.
Thimani Dananjana Ranathungage, Harsha Blumer, Saman Muthukumarana   +2 more
doaj   +2 more sources

Investigating associations between anti-nuclear antibody positivity and combined long-term exposures to NO2, O3, and PM2.5 using a Bayesian kernel machine regression approach

Environment International, 2020
Background: Air pollution has many adverse health effects, but the combined or synergistic effects of multiple ambient air pollutants on anti-nuclear antibodies (ANA, a serologic marker of systemic autoimmune rheumatic disease, SARDs) have never been ...
Naizhuo Zhao, Audrey Smargiassi, Marie Hudson, Marvin J. Fritzler, Sasha Bernatsky   +4 more
doaj   +3 more sources

Combined Effects of Metals and PFAS Exposure on Prevalent Diabetes [PDF]

Journal of Xenobiotics
Human per- and polyfluoroalkyl substances (PFAS) and metal exposures occur as mixtures, but most studies evaluate them independently. Using data from adults in the 2017–2018 National Health and Nutrition Examination Survey (NHANES) with directly measured
Rifa Tasnia, Emmanuel Obeng-Gyasi
doaj   +2 more sources

The sensitivity of Bayesian kernel machine regression (BKMR) to data distribution: a comprehensive simulation analysis

Journal of Statistical Computation and Simulation
Bayesian Kernel Machine Regression (BKMR) has emerged as a powerful tool to detect negative health effects from exposure to complex multi-pollutant mixtures. However, its performance is degraded when data deviate from normality. In this comprehensive simulation analysis, we show that BKMR’s power and test size vary under different distributions and ...
Hasan, Kazi Tanvir, Odom, Gabriel, Bursac, Zoran, Ibrahimou, Boubakari   +3 more
openaire   +4 more sources

A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression [PDF]

Stats
Large-scale population datasets are rarely generated via simple random sampling; instead, they reflect complex designs involving stratification, clustering, and unequal inclusion probabilities.
Doreen Jehu-Appiah, Emmanuel Obeng-Gyasi
doaj   +2 more sources

Investigating Associations Between Depressive Symptoms and Anti-/Pro-Inflammatory Nutrients in an Elderly Population in Northern China: A Bayesian Kernel Machine Regression Approach

Journal of Inflammation Research, 2021
Ruiqiang Li,1,* Wenqiang Zhan,2,* Xin Huang,1 Limin Zhang,1 Yan Sun,1 Zechen Zhang,1 Wei Bao,1 Yuxia Ma1 1Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment ...
Li R, Zhan W, Huang X, Zhang L, Sun Y, Zhang Z, Bao W, Ma Y   +7 more
doaj   +2 more sources

Subgroup analyses and effect modification with Bayesian kernel machine regression. [PDF]

Am J Epidemiol
Demateis D, Keller KP, Coull BA, Wilson A.   +3 more
europepmc   +2 more sources