Comparative Study of Three Trajectory Analysis Methods
10.11783/j.issn.1002-3674.2024.03.002
- VernacularTitle:三种轨迹分析方法的比较研究
- Author:
Junjie WANG
1
;
Yina CHEN
;
Mengyi LU
Author Information
1. 南京医科大学公共卫生学院生物统计学系(211166)
- Keywords:
Trajectory analysis;
Group-based trajectory modeling;
Growth mixture modeling;
Cluster analysis
- From:
Chinese Journal of Health Statistics
2024;41(3):331-338
- CountryChina
- Language:Chinese
-
Abstract:
Objective To introduce and compare different trajectory analysis methods.Methods Simulation experiments were conducted to compare the effect and applicable conditions of different trajectory analysis methods under different scenarios.Dataset of SPRINT was analyzed using these methods.Results Growth mixture modeling(GMM)performed best in single trajectory analysis while group-based trajectory modeling(GBTM)and cluster analysis were able to analyze multivariate trajectory.Cluster analysis had strict requirements on follow-up data.Conclusion Each of these three methods has its own advantages,and the appropriate method can be selected according to the specific situation of the dataset.
