New methodology for the analysis of correlated data arising from longitudinal studies

分析纵向研究相关数据的新方法

• 批准号: 327107-2009
• 负责人: Zeng, Leilei
• 金额: $ 1.17万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=526823
• 关键词: New; methodology; analysis; correlated; data

Longitudinal studies are increasingly common in many areas of research with the defining characteristic of repeated measurements from each individual over a period of time. Frequently, more complex types of correlation structure arise in the longitudinal studies when multivariate or clustered longitudinal data are involved. Examples include medical studies where a vector of health indicator variables are collected longitudinally and community or school based intervention studies.

纵向研究在许多研究领域越来越普遍，其定义特征是在一段时间内对每个人进行重复测量。在纵向研究中，当涉及多变量或聚类纵向数据时，往往会出现更复杂类型的相关结构。实例包括纵向收集健康指标变量向量的医学研究和社区或学校干预研究。