Introduction and application of varying-coefficient models in medical research
10.3969/j.issn.1672-8467.2024.03.022
- VernacularTitle:变系数模型简介及其在医学研究领域中的应用
- Author:
Ke-Cheng WEI
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:
Cox model;
hypertension;
body mass index(BMI);
all-cause mortality;
time-varying effects
- From:
Fudan University Journal of Medical Sciences
2024;51(3):439-442
- CountryChina
- Language:Chinese
-
Abstract:
This paper briefly introduced the varying coefficient model and used the varying coefficient Cox model as an example to demonstrate its application in the fields of medicine and public health through real data analysis,thereby provided methodological references for related research.The example was based on chronic disease management data from a Center for Disease Control and Prevention,fitting a varying coefficient Cox model to explore the time-varying association between body mass index(BMI)and mortality risk among a hypertensive population.The results showed that being underweight(BMI＜18.5 kg/m2)was associated with a higher risk of mortality,but this association weakened over time;being overweight(23 kg/m2≤BMI＜25 kg/m2)was associated with a lower risk of mortality,and this association also weakened over time.The varying coefficient model captured how the impact of exposure factors on outcomes changed with other variables,helping to comprehensively understand the complex relationships between variables,and had significant application and promotion value in medical and public health research.
