本課程著重於提供學生對於量性方法與基礎統計概念之連結。課程涵蓋基礎統計假說檢定及估計並且以此為根基延伸至迴歸模型(主要包含線性、布瓦松、羅吉斯以及寇斯等比風險模型)中相對應之統計方法。課程中亦包含運用基礎與進階統計方法於實證醫學中。本課程亦將著重於運用統計結果以及預測模型於健康照護科學中。

The course begins with basic statistical hypothesis testing and estimation and their extensions to the regression models (mainly including linear, Poisson, logistic, and Cox proportional hazards regression model). It also covers the context of applying basic and advanced statistical models to the realm of evidence-based medicine (EBM). This-year course also puts emphasis on how statistical reasoning and prediction model can be applied to health care science.