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COMPARISON BETWEEN BAYESIAN QUANTILE REGRESSION AND BAYESIAN LASSO QUANTILE REGRESSION FOR MODELING POVERTY LINE WITH PRESENCE OF HETEROSCEDASTICITY IN WEST SUMATRA

open access: yesBarekeng
The poverty line is the threshold income level below which a person or household is considered to be living in poverty. The poverty line is a representation of the minimum rupiah amount needed to meet the minimum basic food needs equivalent to 2100 ...
Lilis Harianti Hasibuan   +4 more
doaj   +4 more sources

Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach

open access: yesMathematics
Since the advent of composite quantile regression (CQR), its inherent robustness has established it as a pivotal methodology for high-dimensional data analysis.
Ruisi Nan   +3 more
doaj   +4 more sources

A Bayesian Binary reciprocal LASSO quantile regression (with practical application)

open access: yesJournal of Kufa for Mathematics and Computer, 2023
Quantile regression is one of the methods that has taken a wide space in application in the previous two decades because of the attractive features of these methods to researchers, as it is not affected by outliers values, meaning that it is considered ...
Mohammed Kahnger, Ahmad Naeem Flaih
doaj   +2 more sources

Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis [PDF]

open access: yesData Science in Science
Missing data are common in environmental mixture studies and can bias inference if not properly addressed. This study evaluates how different imputation strategies influence variable selection performance in six mixture modeling frameworks: Weighted ...
Yvonne S. Boafo   +2 more
doaj   +2 more sources

Benchmarking Statistical Methods for Environmental Chemical Mixtures: Prediction, Interaction Detection, and an Applied Analysis of Metals, Essential Elements and Diabetes [PDF]

open access: yesStats
Background. Human populations are exposed to complex chemical mixtures, making interaction detection a central challenge in environmental epidemiology. We benchmarked methods for prediction and recovery of interaction structure. Methods. Eight approaches—
Aderonke Gbemi Adetunji   +1 more
doaj   +2 more sources

Effects of mixed blood metals on hearing loss among steel workers: a case-control study [PDF]

open access: yesFrontiers in Public Health
ObjectivesTo investigate the associations of single and multiple blood metal exposures with hearing loss, and evaluate the interactions between metals and noise exposure, thereby providing scientific evidence for the prevention and control of hearing ...
Jian Zhang   +4 more
doaj   +2 more sources

Association between multiple urinary metals and visceral obesity: a large cross-sectional study in South China [PDF]

open access: yesEuropean Journal of Medical Research
Background The majority of studies have predominantly used body mass index or waist circumference as measures to establish a link between urinary metals and obesity, leading to inconsistent outcomes.
Mei Yao   +7 more
doaj   +2 more sources

Comprehensive multi-method analysis of blood heavy metals and nutrient intake in myopia and high myopia [PDF]

open access: yesJournal of Translational Medicine
Background High myopia constitutes a significant global public health concern. Although visual behaviors are well-established determinants, the relationships between systemic environmental exposures, nutritional factors, and high myopia remain ...
Jingwen Hui   +3 more
doaj   +2 more sources

Association between heavy metals, essential trace elements in follicular fluid and diminished ovarian reserve: a hospital-based case-control study [PDF]

open access: yesFrontiers in Endocrinology
ObjectiveTo investigate the distribution of heavy metals and essential trace elements in follicular fluid (FF) and their association with diminished ovarian reserve (DOR) using a clinical epidemiological approach.MethodsA hospital-based case–control ...
Xin-chen Huang   +7 more
doaj   +2 more sources

Modified Quantile Regression for Modeling the Low Birth Weight

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
This study aims to identify the best model of low birth weight by applying and comparing several methods based on the quantile regression method's modification.
Ferra Yanuar   +2 more
doaj   +1 more source

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