本課程包含生物統計學與流行病學兩大部分，將淺入深出地自資料初探開始，以科學原則探討統計分佈及基本原理（假設檢定及估計）及其應用於流行病學測量指標，再以統計推理方式探討流行病學因果關係推論，之後將探討統計方法與實證醫學研究設計，並應用於實驗性流行病學，再以類實驗研究設計及相關統計方法應用於兩個流行病學常用之世代追蹤研究、病例對照研究等。最後再將多元迴歸方程式模式應用於臨床流行病學、傳染病流行病學、遺傳流行病學等主題。
This course is divided into two parts, biostatistics and epidemiology. This course begins with the basic theory of statistics (including statistical distribution, hypothesis testing and estimation) and their links with basic measurements of descriptive epidemiology and causal relationships implicated in analytic epidemiology. We then unify basic statistical methods with experimental epidemiological method to reach the principles of evidence-based medicine (EBM). We also impart quasi-experimental design with two major epidemiological designs, prospective cohort study and case-control study. Finally, we applied our statistical regression model to different fields of epidemiology, including clinical epidemiology, infectious epidemiology and genetic epidemiology.