健康資料分析與應用
Analysis and application of healthcare databases
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 健康資料分析與應用 YL401（陽明） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
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 - 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.
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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.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | 1. Course overview 2. Introduction to healthcare databases 3. SAS installation 2021/02/23 |
| 第 2 週 | Identification of medication use records from healthcare databases 2021/03/02 |
| 第 3 週 | Identification of disease diagnosis records from healthcare databases 2021/03/09 |
| 第 4 週 | Protocol writing 2021/03/16 |
| 第 5 週 | SAS programming 1: Introduction to SAS software 2021/03/23 |
| 第 6 週 | Student report I : research question & PICOs 2021/03/30 |
| 第 7 週 | 校際活動週 2021/04/06 |
| 第 8 週 | SAS programming 2: Study cohort assembly and distribution of patient characteristics 2021/04/13 |
| 第 9 週 | SAS programming 3: Outcome occurrence and follow-up 2021/04/20 |
| 第 10 週 | SAS programming 4: Kaplan-Meier curve and hazard ratio 2021/04/27 |
| 第 11 週 | SAS programming 5: Comorbidity measures and propensity scores 2021/05/04 |
| 第 12 週 | Special topic 1: Array and macro skills 2021/05/11 |
| 第 13 週 | Special topic 2: R plot 2021/05/18 |
| 第 14 週 | Special topic 3: Use of electronic medical records in clinical research 2021/05/25 |
| 第 15 週 | Student report II : study proposal 2021/06/01 |
| 第 16 週 | Final examination 2021/06/08 |
| 第 17 週 | 彈性授課 2021/06/15 |
| 第 18 週 | 彈性授課 2021/06/22 |
1. Faries DE, Leon AC, Haro JM, Obenchain RL. 2010. Analysis of Observational Health Care Data Using SASR. Cary, NC: SAS Institute Inc. 2. https://stats.idre.ucla.edu/sas/
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