Introduction of joint model and its applications in medical research
10.3760/cma.j.issn.0254-6450.2019.11.021
- VernacularTitle: 联合模型介绍及在医学研究中的应用
- Author:
Yinghong ZHAI
1
;
Qi CHEN
2
;
Hedong HAN
2
;
Xinxin ZHAO
1
;
Yongqing GAO
1
;
Xiang ZHOU
3
;
Jia HE
1
,
4
Author Information
1. Tongji University School of Medicine, Shanghai 200092, China
2. Department of Health Statistics, The Second Military Medical University, Shanghai 200433, China
3. Department of Health Management, Anhui Medical Universite, Hefei 230032, China
4. Department of Health Statistics, The Second Military Medical University, Shanghai 200433, China
- Publication Type:Journal Article
- Keywords:
Joint model;
Longitudinal data;
Survival data
- From:
Chinese Journal of Epidemiology
2019;40(11):1456-1460
- CountryChina
- Language:Chinese
-
Abstract:
In medical follow-up studies, longitudinal data and survival data are often accompanied and associated with each other, thus respective analysis of longitudinal and survival data might lead to biased results. Joint model can correct deviations, improve the efficiency of parameter estimation and provide effective inferences by simultaneously processing longitudinal and survival data. It is a popular method in medical research. Joint model has made much progress, whereas the literature about the joint model and its application is limited in China. This paper summarizes the main idea, basic framework, parameter estimation methods of random effect joint model and introduces the analysis on AIDS data set based on the R software package 'JM’ to clarify the advantages of the joint model in processing medical follow-up data and promote the use of the joint model in clinical research.
