Introduction and application of non-parametric regression method in medical research
10.3969/j.issn.1672-8467.2024.02.022
- VernacularTitle:非参数回归方法简介及其在医学研究领域中的应用
- Author:
Ya-Hang LIU
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:
non-parametric regression;
mean blood glucose;
blood glucose variability;
mortality
- From:
Fudan University Journal of Medical Sciences
2024;51(2):280-284
- CountryChina
- Language:Chinese
-
Abstract:
This article introduced the basic theory of non-parametric regression and its application in medical and public health research for methodological reference.We conducted Cox proportional hazard models with restricted cubic splines using chronic disease management data from a Center for Disease Control and Prevention.We aimed to explore the separate and combined effects of mean fasting blood glucose level and glucose variability on all-cause mortality among individuals with type 2 diabetes.A non-linear association was observed between glucose variability and the risk of all-cause mortality.The association between glucose variability and all-cause mortality was stronger at higher mean fasting blood glucose levels compared to lower levels.The non-parametric regression methods comprehensively explored dose-response relationships between continuous exposure and outcome,revealing the combined effects of continuous exposures,which provided recommendations for targeted interventions.The method showed promising application value in medical and public health research.