Results 1 to 10 of about 5,004,642 (164)

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   +6 more sources

Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression [PDF]

Environmental Health, 2018
Background Estimating the health effects of multi-pollutant mixtures is of increasing interest in environmental epidemiology. Recently, a new approach for estimating the health effects of mixtures, Bayesian kernel machine regression (BKMR), has been ...
Jennifer F. Bobb, Birgit Claus Henn, Linda Valeri, Brent A. Coull   +3 more
doaj   +5 more sources

The Cumulative and Single Effect of 12 Aldehydes Concentrations on Cardiovascular Diseases: An Analysis Based on Bayesian Kernel Machine Regression and Weighted Logistic Regression [PDF]

Reviews in Cardiovascular Medicine
Background: This study investigates the individual and cumulative effects of 12 aldehydes concentrations on cardiovascular disease (CVD). Methods: A total of 1529 individuals from the 2013–2014 National Health and Nutrition Examination Survey were ...
Yuemei Fang, Juan Zhang
doaj   +4 more sources

Assessing the impact of air pollution on lung function in South Korea using Bayesian kernel machine regression [PDF]

Scientific Reports
This study investigates the relationship between air pollution and lung function in the South Korean adult population using Bayesian Kernel Machine Regression (BKMR).
Eun-Ji Lee, Narae Jo, Tae-Young Heo, Kim Young-Youl, Eunjin Kwon, Min Gu Kang, Jae-Hwan Jhong   +6 more
doaj   +5 more sources

A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone

Applied Sciences
The cultivation of abalone, a species with high economic value, faces significant challenges due to its slow growth rate and sensitivity to environmental conditions, resulting in prolonged cultivation periods and increased mortality risks.
Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo   +7 more
doaj   +4 more sources

Modeling Exposure Mixtures and Spatiotemporal Dependence in Count Data Using Bayesian Kernel Machine Regression

Stats
We propose a Bayesian kernel machine regression (BKMR) framework for count outcomes with dynamic spatiotemporal dependence. The proposed model, termed Negative Binomial BKMR with spatiotemporal effects (NB-BKMR), integrates (i) a negative binomial ...
Ning Sun, Zoran Bursac, Boubakari Ibrahimou   +2 more
doaj   +4 more sources

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 ...
Li H, Deng W, Small R, Schwartz J, Liu J, Shi L.   +5 more
europepmc   +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

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

J Inflamm Res, 2021
Li R, Zhan W, Huang X, Zhang L, Sun Y, Sun Y, Zhang Z, Bao W, Ma Y.   +8 more
europepmc   +2 more sources