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課程名稱 |
公共衛生生物統計
Biostatistics for Public Health |
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開課學期 |
105-1 |
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授課對象 |
公共衛生學院 流行病學與預防醫學研究所 |
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授課教師 |
盧子彬 |
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課號 |
EPM8001 |
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課程識別碼 |
849ED0380 |
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班次 |
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學分 |
3 |
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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 |
星期四6,7,8(13:20~16:20) |
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上課地點 |
公衛207 |
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備註 |
本課程以英語授課。全球衛生組博班必修。與蕭朱杏、杜裕康、林菀俞合開
總人數上限：10人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1051EPM8001_globstat |
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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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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
The course will be delivered over one semester, as a blend of lectures, practical exercises, presentation and in-class discussion of reading tasks. Most sessions comprises lectures and practical exercises. The free statistical software R will be used for practical sessions. |
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課程目標 |
We aim to make the students learn the basic concepts of statistics and are able to apply the methods and models into practical projects. Students will learn how to perform the analysis by using the R programming language. |
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課程要求 |
Active participations in the class discussion and practical sessions are requirements for all students. |
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： Make an appointment by email |
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指定閱讀 |
1. http://manuals.bioinformatics.ucr.edu/home/programming-in-r |
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參考書目 |
1. Principles of Biostatistics, 2nd edition, by M. Pagano & K Gauvreau. Pacific Grove, CA: Duxbury, 2000.
2. Essential Medical Statistics, 2th Edition, by B. Kirkwood & JAC Sterne, Oxford: Blackwell, 2003. (ebook from library)
3. Introductory statistics with R, 2nd edition, by P Dalgaard. New York: Springer, 2008. (ebook from library)
4. A beginner's guide to R, by Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters. New York, NY : Springer-Verlag New York, 2009. (ebook from library)
5. Data analysis and graphics using R, 3rd Edition, by J. Maindonald & WJ Braun. Cambridge: Cambridge University Press, 2010. (2nd edition available as ebook from library) |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Mid-term written exam |
30% |
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2. |
Final written exam |
30% |
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3. |
Mid-term computer lab exam |
15% |
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4. |
Final computer lab exam |
15% |
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5. |
Class participation & attendance |
10% |
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週次 |
日期 |
單元主題 |
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第1週 |
9/15 |
Holiday |
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第2週 |
9/22 |
Introduction to the course and introduction to R software (盧子彬老師)
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第3週 |
9/29 |
Descriptive statistics (蕭朱杏老師)
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第4週 |
10/06 |
R graphics (盧子彬老師)
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第5週 |
10/13 |
t-test and ANOVA (1) (蕭朱杏老師)
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第6週 |
10/20 |
t-test and ANOVA (2) (蕭朱杏老師)
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第7週 |
10/27 |
Non-parametric tests (盧子彬老師)
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第8週 |
11/03 |
Categorical data analysis (盧子彬老師)
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第9週 |
11/10 |
Special lecture : Microarray |
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第10週 |
11/17 |
Mid-term computer lab exam
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第11週 |
11/24 |
Mid-term exam
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第12週 |
12/01 |
Correlation and linear regression (盧子彬老師)
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第13週 |
12/08 |
Statistical analysis for repeated measurements (1) (林菀俞老師)  
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第14週 |
12/15 |
Statistical analysis for repeated measurements (2) (林菀俞老師)  
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第15週 |
12/22 |
Multiple linear regression (盧子彬老師)
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第16週 |
12/29 |
Special lecture : Meta-analysis (杜裕康老師)
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第17週 |
1/05 |
Final computer lab exam
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第18週 |
1/12 |
Final exam
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