摘要
目的结合具体实例和R Studio语言代码,实现临床医学数据分析的贝叶斯分位数回归应用,展现贝叶斯分位数回归的优势,为提高医学研究的准确率提供参考。方法所用数据来自首都临床特色应用研究专项250例膝骨关节炎患者临床资料。构建数据集下的贝叶斯分位数回归模型,进行患者血清IgG与年龄之间关系的探讨。结果根据马尔可夫链收敛,判断贝叶斯分位数回归从各个参数的后验分布中进行Gibbs抽样得到的参数估计有效。将所得系数代入回归公式,得到不同分位数下回归公式:Y_(1)=-6.02206347+2.02691373X-0.01507769X^(2)……Y_(5)=24.610542414-0.395059497X+0.004205064X^(2),据此可以发现,膝骨关节炎患者血清IgG含量明显随着年龄增长逐渐升高。结论贝叶斯分位数回归参数估计结果精确,可信程度较高,在小样本条件下也可以得到可靠参数信息,在临床医学数据分析中具有很大的优势,具有一定推广价值。
Objective To combine specific examples and R Studio language code,to apply the Bayesian quantile regression method in the analysis of clinical medicine data,and show the advantages of Bayesian quantile regression method,so as to provide references for improving the accuracy of medical research.Methods The clinical data of 250 patients with knee osteoarthritis from the capital special research on the application of clinical characteristics project were used.A Bayesian quantile regression model based on data set was constructed to explore the relationship between the level of serum IgG and the age of the patients.Results The Monte Carlo algorithm converge can judge the efficiency of parameter estimation based on Gibbs sampling which was used to draw samples from the posterior distribution of parameters in Bayesian quantile regression.By generating the parameter into the regression formula,we can obtain the regression under different quantiles:Y_(1)=−6.02206347+2.02691373X−0.01507769X^(2)……Y_(5)=24.610542414−0.395059497X+0.004205064X^(2.)It can be found that the serum level of IgG was obviously increased with age.Conclusion Bayesian quantile regression parameter estimation results are accurate and highly credible,and reliable parameter information can be obtained even under small sample conditions.It has great advantages in the research of clinical medicine data and has certain promotional value.
作者
薛丽娟
沈捷
苑艺
甘叶娜
韩晟
王毓岩
刘志凤
张明阳
李多多
XUE Lijuan;SHEN Jie;YUAN Yi;GAN Yena;HAN Sheng;WANG Yuyan;LIU Zhifeng;ZHANG Mingyang;LI Duoduo(Department of Tuina and Pain,Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,P.R.China;iHealth Labs Inc,Shanghai 200235,P.R.China;Centre for Evidence-Based Medicine,Beijing University of Chinese Medicine,Beijing 100029,P.R.China;School of Pharmaceutical Science,Peking University,Beijing 100191,P.R.China;International Research Center for Medicinal Administration,Peking University,Beijing 100191,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2024年第1期83-90,共8页
Chinese Journal of Evidence-based Medicine
基金
首都临床特色应用研究专项(编号:Z181100001718165)
北京中医药薪火传承“3+3”工程刘寿山名家研究室(编号:2022-SZ-A-50)。
关键词
贝叶斯方法
分位数回归
R
Studio
R语言
临床医学研究
Bayesian method
Quantile regression
R Studio
R programming language
Clinical medicine research
