Introduction and application of quantile regression method in medical reserach
10.3969/j.issn.1672-8467.2024.01.022
- VernacularTitle:分位数回归方法简介及其在医学研究领域中的应用
- Author:
Lu-Lu PAN
1
;
Yong-Fu YU
;
Guo-You QIN
Author Information
1. 复旦大学公共卫生学院生物统计学教研室 上海 200032
- Keywords:
quantile regression;
depression;
sleep duration
- From:
Fudan University Journal of Medical Sciences
2024;51(1):139-142
- CountryChina
- Language:Chinese
-
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.
