Statistical methods for repeated measurement data in scientific research
10.3760/cma.j.cn112150-20200514-00728
- VernacularTitle:重复测量数据的常用统计分析方法
- Author:
Guoshuang FENG
1
Author Information
1. 国家儿童医学中心 首都医科大学附属北京儿童医院大数据和工程研究中心，北京 100045
- Keywords:
Models, statistical;
Data interpretation;
Statisticalrepeated measures
- From:
Chinese Journal of Preventive Medicine
2020;54(7):804-812
- CountryChina
- Language:Chinese
-
Abstract:
Repeated measurement data is a common type of data in medicine, whichcan not be simply compared at each time point, and a professional statistical analysis method should be used to analysis this kind of data. Three common statistical methods were introduced for repeated measurement data, including repeated measurement analysis of variance, generalized estimation equations and multilevel models.The implementation of specific software and related results for the three methods based on some cases were also explainedin the article. Additionally, we compared the actual application of the three methods, in order to help clinical researchers to analyze repeated measurement data correctly and to improve their efficiency of data analysis.
