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
单 位: Department of Biostatistics
University of Michigan
时间: 2018年7月18日 - 20日
上午 8:00-10:00 10:20-12:20
地点:数学楼三楼 会议室