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，再結合基本統計推論應用於臨床推理，並利用前述流行病學及統計觀念探討如何應用於疾病預防及干擾和偏差性研究之設計及分析。最後再進一步應用於臨床流行病學、傳染病流行病學、遺傳流行病學及臨床試驗等主題。
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 and analytical epidemiology (such as Simpson’s paradox). We then applied basic statistical inference to clinical reasoning. We further applied the concepts and knowledge to provide a good design and adequate analyses for disease prevention and also confounding-and bias-driven study. Finally, applications to different fields of epidemiology are given, including clinical epidemiology, infectious epidemiology, genetic epidemiology, and clinical trial.