Cargando…
Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression
OBJECTIVES: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. METHODS: Data from 227 counties surveyed by the 2017 Korean Community Health Survey...
Autores principales: | Kim, Eun Su, Nam, Hae-Sung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Preventive Medicine
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046605/ https://www.ncbi.nlm.nih.gov/pubmed/33845535 http://dx.doi.org/10.3961/jpmph.20.507 |
Ejemplares similares
-
A Spatial Autoregressive Quantile Regression to Examine Quantile Effects of Regional Factors on Crash Rates
por: Yu, Tianjian, et al.
Publicado: (2021) -
The decline in youth drinking in England—is everyone drinking less? A quantile regression analysis
por: Oldham, Melissa, et al.
Publicado: (2019) -
Quantile regression
por: Koenker, Roger
Publicado: (2005) -
The Effectiveness of Drinking and Driving Policies for Different Alcohol-Related Fatalities: A Quantile Regression Analysis
por: Ying, Yung-Hsiang, et al.
Publicado: (2013) -
High quantile regression for extreme events
por: Huang, Mei Ling, et al.
Publicado: (2017)