Results 71 to 80 of about 2,889,354 (160)

New Bayesian Lasso Composite Quantile Regression [PDF]

, 2017
In this paper, we propose a new Bayesian lasso inference scheme for variable selection in composite quantile regression model (C Quantile Reg). The suggested approach is to construct a hierarchical structure within the Gibbs sampling under the assumption
Alhusseini, Fadel Hamid Hadi
core   +1 more source

Bayesian LASSO Quantile Regression: An Application to the Modeling of Low Birth Weight [PDF]

Proceedings of the Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia, 2020
Ferra Yanuar, Aidinil Zetra, Arrival Rince Putri, Yudiantri Asdi   +3 more
openaire   +1 more source

Integrating machine learning and metabolomics to identify PFAS-associated metabolic alterations related to lung cancer risk

Environment International
Per- and polyfluoroalkyl substances (PFAS) are pervasive environmental contaminants increasingly implicated in lung cancer risk. However, the metabolic features and biological pathways associated with human PFAS exposure in relation to lung cancer remain
Jianli Qu, Xinguo Zhang, Qianxun Jin, Yasheng Guo, Haomiao Yu, Guoyin Zhan, Weili Mao, Sicheng Xiang, Meirong Zhao, Hangbiao Jin   +9 more
doaj   +1 more source

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]

, 2009
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas, Hothorn, Torsten, Fenske, Nora   +2 more
core   +1 more source

Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results

BMC Medical Informatics and Decision Making
Purpose Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance.
Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey, Mahableshwar Albur   +14 more
doaj   +1 more source

Exposure to synthetic steroid hormones and precocious puberty in girls: A case-control study

Ecotoxicology and Environmental Safety
Synthetic steroid hormones are an emerging class of environmental pollutants, but their influence on pubertal timing remains unclear. This case-control study explored the association between synthetic steroid hormone exposure and precocious puberty ...
Jingyi Tang, Yao Chen, Peng Xue, Yang Chen, Huijun Kong, Cuilan Lin, Xiumin Wang, Shijian Liu   +7 more
doaj   +1 more source

Association between urinary volatile organic compound metabolites and sarcopenia in the US general population: a cross-sectional NHANES study from 2011 to 2018

Scientific Reports
Volatile organic compound (VOC) is a prevalent form of pollutant that has been linked to various human ailments, yet their connection to sarcopenia remains uncertain.
Wei Tang, Tuotuo Chen, Zixuan Luo, Junxiang Chen   +3 more
doaj   +1 more source

Exposure to volatile organic compounds increases the risk of sarcopenia: Insights into association and mechanism.

PLoS ONE
BackgroundVolatile organic compounds (VOCs) are ubiquitous in our environment, and their associations with sarcopenia are unknown. The aim of this study is to evaluate the association between VOCs exposure and sarcopenia.MethodsData from 2429 U.S. adults
Maosheng Yang, Hanbin Wang, Wenlong Huang, Yi Li   +3 more
doaj   +1 more source

Association of co-exposure to EDCs in early pregnancy with threatened abortion: The mediation effect of progesterone

Environment International
Endocrine-disrupting chemicals (EDCs) are ubiquitous environmental pollutants linked to adverse pregnancy outcomes, but their combined effects on threatened abortion (TA) remain unclear.
Ting-ting Jiang, Dong-yang Zhang, Zi-yi Liu, Zi-shun Lu, Lu-ming Yan, Shu Sun, Ji-an Xie, Min Zhu, Zhi-hua Zhang, Yu-hui Wan, Hua Wang, Jia-hu Hao, Chao Zhang   +12 more
doaj   +1 more source

Cross-sectional associations between multiple plasma heavy metals and lung function among elderly Chinese

Scientific Reports
Environmental exposure to heavy metals may adversely affect lung function particularly in the elderly. However, limited data are available directly evaluating the relationship of heavy metal exposures with lung function in Chinese elderly.
Junpu Yu, Rongxuan Zhang, Aimin Yang, Jingli Yang, Yiwen Zhang, Rongjie Wu, Fanhui Luo, Huiling Luo, Rentong Chen, Bin Luo, Li Ma   +10 more
doaj   +1 more source