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Introduction and application of quantile regression method in medical reserach / 复旦学报(医学版)
Article in Zh | WPRIM | ID: wpr-1019593
Responsible library: WPRO
ABSTRACT
This article introduced the basic theory of quantile regression and its application in medical and public health research for methodological reference.We fit the quantile regression model to cross-sectional data from the National Health and Nutrition Examination Survey to estimate the association between sleep duration and depression levels at different quantiles of depression levels.The method showed that among people with low levels of depression,sleep duration was not significantly associated with depression level.While among people with higher levels of depression,the association of sleep duration with depression level became much more pronounced.The real data analysis shows that quantile regression can provide a comprehensive analysis of association between exposure and continuous outcome,and identify subgroups that are more sensitive to exposure,providing recommendations for targeted interventions.The method showed promising application value in medical and public health research.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: Fudan University Journal of Medical Sciences Year: 2024 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Fudan University Journal of Medical Sciences Year: 2024 Type: Article