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生物统计课程I - VI

发表于: 2018-07-11 08:39  点击:

生物统计课程I - VI

 

摘要: This short course will consist of the following five parts: Part 1. Introduction of longitudinal data consisting of correlated data and spatial data with specific case studies and examples; Part 2. Linear mixed models (LMM) consisting of model introduction, theory, examples, and software implementations; Part 3. Generalized estimating equations (GEE) consisting of theory, software implementations and examples; Part 4. Generalized linear mixed effect models (GLMM) consisting of theory, examples, software implementations, and relationship between GEE and GLMM; Part 5. Missing data and drop-outs in correlated data and longitudinal data analysis consisting of missing patterns, missing mechanism, and analysis strategies.

 

主讲人: Professor Lu Wang

 : Department of Biostatistics

University of Michigan

时间: 2018718 - 20

上午 8:0010:00  10:2012:20

地点:数学楼三楼 会议室