A modified regression approach for modeling small sample and non-normal distributed longitudinal outcome

用于对小样本和非正态分布纵向结果进行建模的改进回归方法

• 批准号: 365478
• 负责人: Lu Zihang
• 金额: $ 7.65万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-10-01 至 2019-10-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=365478&lang=en
• 关键词: Biostatistics; Growth Trajectories Modeling; Longitudinal Data Analysis; Lung Function Development; Non-Normal Distributed Outcomes; Simulation Studies; Small Sample Size

The relationship between the growth trajectories, rates of change of a longitudinal measurement and a future outcome are usually of great interest in epidemiology and clinical research. Many statistical modelling approaches have been proposed over the pas

生长轨迹、纵向测量的变化率和未来结果之间的关系通常在流行病学和临床研究中引起极大兴趣。在过去的几年中，人们提出了许多统计建模方法