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課程資訊 |
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課程名稱 |
高等醫學統計方法一 Advanced Medical Statistics (Ⅰ) | ||||||||||||||||
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開課學期 |
107-1 | ||||||||||||||||
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授課對象 |
共同教育中心 統計碩士學位學程 | ||||||||||||||||
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授課教師 |
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課號 |
EPM8064 | ||||||||||||||||
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課程識別碼 |
849 D0310 | ||||||||||||||||
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班次 |
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學分 |
3.0 | ||||||||||||||||
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全/半年 |
半年 | ||||||||||||||||
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必/選修 |
選修 | ||||||||||||||||
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上課時間 |
星期二6(13:20~14:10)星期三8,9(15:30~17:20) | ||||||||||||||||
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上課地點 |
公衛207 | ||||||||||||||||
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備註 |
生醫資訊與生物統計學領域選修課程之一。 總人數上限：12人 | ||||||||||||||||
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 | ||||||||||||||||
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課程大綱
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課程概述 |
本課程介紹生存資料以及縱貫性資料之進階統計分析方法，並回顧探討相關文獻以了解在臨床醫學與流行病學研究領域相關資料統計方法的發展和應用。這是一門進階統計方法學課程，提供已修習過基礎存活分析與數理統計或相關課程學生更專精之統計方法領域。
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課程目標 |
這是一門進階統計方法學課程，提供已修習過基礎存活分析與數理統計或相關課程學生有關存活與縱貫性資料之更專精統計方法領域。
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課程要求 |
須修過基礎存活分析與數理統計或相關課程，或具備相同或以上程度
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 | ||||||||||||||||
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參考書目 |
1. Martinussen and Scheike (2006), Dynamic Regression Models for Survival Data,
Springer 2. Kalbfleisch and Prentice (2002), The Statistical Analysis of Failure Time Data, 2nd Ed., John Wiley and Sons 3. Cook and Lawless (2007), The Statistical Analysis of Recurrent Events, Springer 4. McCullagh and Nelder (1989) Generalized Linear Model, 2nd Ed., Chapman and Hall/CRC 5. Hardin and Hilbe (2012) Generalized Estimating Equations, 2nd Ed., Chapman and Hall/CRC 6. Diggle, Heagerty, Liang and Zeger (2002) Analysis of Longitudinal Data, 2nd Ed, Oxford University Press 7. Casella and Berger (2002) Statistical Inference, 2nd Ed., Duxbury. | ||||||||||||||||
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評量方式 (僅供參考) |
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課程進度 |
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週次 |
日期 |
單元主題 |
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第1週 |
09/11; 09/12 | (9/11) Introduction and course requirements
(9/12) Counting processes and martingales |
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第2週 |
09/18; 09/19 | Nonparametric procedures for survival data |
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第3週 |
09/25; 09/26 | Semiparametric methods for additive hazards models |
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第4週 |
10/02; 10/03 | Semiparametric methods for multiplicative-additive hazards models |
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第5週 |
10/09; 10/10 | (10/09) Semiparametric methods for accelerated failure time models
(10/10) National Day Off |
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第6週 |
10/16; 10/17 | Semiparametric methods for accelerated failure time and transformation models |
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第7週 |
10/23; 10/24 | Modeling and analysis of recurrent event data (1) |
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第8週 |
10/30; 10/31 | (10/30) Modeling and analysis of recurrent event data (2)
(10/31) Exam (1) |
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第9週 |
11/06; 11/07 | Analysis of clustered failure time data |
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第10週 |
11/13; 11/14 | Marker point process models |
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第11週 |
11/20; 11/21 | General linear models for longitudinal data |
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第12週 |
11/27; 11/28 | Generalized linear models for longitudinal data (1) |
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第13週 |
12/04; 12/05 | (12/04) Generalized linear models for longitudinal data (2)
(12/04) Exam (2) |
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第14週 |
12/11; 12/12 | Literature reading and discussion on recent topics for multivariate lifetime data |
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第15週 |
12/18; 12/19 | Literature reading and discussion on recent topics for longitudinal data and clustered data |
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第16週 |
12/25; 12/26 | Literature reading and discussion on recent topics in multiple event data in longitudinal studies |
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第17週 |
2019/01/01; 01/02 | (1/01) New Year’s Day Off
(1/02) Oral reports |
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第18週 |
2019/01/08; 01/09 | Final reports |