校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

健康資料分析與應用

Analysis and application of healthcare databases

學期
111-2
學分
2 學分
當期課號
132010
永久課號
PSPM30001
開課單位
藥學系
授課教師
許家禎、東雅惠
校區
陽明
類別
必修
上課時間表
週二
5
13:20–14:10
健康資料分析與應用
YL401
2 節連堂
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

這門課程將介紹臨床研究基本概念、次級健康資料庫架構、資料建置與分析所需之SAS統計語法以及如何運用相關知識與技巧進行臨床研究。修課學生需於期中與期末報告其研究題目與研究計畫書。 This course would like to introduce basic concepts of clinical research, data structures of secondary healthcare databases, data compiling skills using SAS, and how to apply corresponding knowledge and skills to conduct clinical research. The students would also require present their research ideals and study proposals in the middle and at the end of the semester. 學習如何運用次級健康照護資料與SAS統計分析軟體進行臨床研究 To learn how to use secondary healthcare databases and SAS programming skills in conducting clinical research

評分方式

1. Oral presentation: 30% 2. Final examination: 30% 3. Homework: 30% 4. Class participation: 10%

週次計畫
週次主題
第 1 週1. Course overview 2. Introduction to healthcare databases 3. SAS installation
第 2 週Identification of medication use records from healthcare databases
第 3 週和平紀念日放假
第 4 週Identification of disease diagnosis records from healthcare databases
第 5 週Protocol writing
第 6 週Special topic 1: Use of electronic medical records in clinical research
第 7 週Student report I : Research questions & PICOs
第 8 週春假
第 9 週SAS programming 1: Introduction to SAS software and basic syntax
第 10 週SAS programming 2: Study cohort assembly and distribution of patient characteristics
第 11 週SAS programming 3: Outcome occurrence and follow-up
第 12 週SAS programming 4: Kaplan-Meier curve and hazard ratio
第 13 週SAS programming 5: Comorbidity measures and propensity scores
第 14 週Special topic 2: Array and macro skills
第 15 週Special topic 3: R plot
第 16 週Student report II : Study proposal
第 17 週Final examination
第 18 週彈性授課
教科書

1. Faries DE, Leon AC, Haro JM, Obenchain RL. 2010. Analysis of Observational Health Care Data Using SAS®. Cary, NC: SAS Institute Inc. 2. https://stats.idre.ucla.edu/sas/