Introduction and application of non-parametric regression method in medical research

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.