本課程為U字頭，歡迎大學部或碩博士班同學選修。在生醫領域，研究者常需處理重複測量的資料，例如：分析病人每次回診的血壓值，這類相依性的資料需要特別的統計方法才能分析。本門課將介紹常用的重複測量分析方法，包括：隨機效應模式(random effects models)、廣義估計式(generalized estimating equations)與轉銜模式(transition models)。除介紹統計理論模式外，將搭配統計軟體SAS或R來處理重複測量的資料。

In Biomedical field, we usually need to deal with longitudinal data. The conventional generalized linear models cannot be used because of ignoring the dependence among measurements. In this course, we will introduce random effects models, mixed effects models, generalized estimating equations (GEEs), generalized mixed effects models (GLMMs), and transition models. In addition to statistical modeling, we also teach how to use SAS or R to analyze the complicated longitudinal data.