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課程名稱 |
類別資料分析
Categorical Data Analysis |
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開課學期 |
110-2 |
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授課對象 |
公共衛生學院 公共衛生碩士學位學程 |
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授課教師 |
張淑惠 |
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課號 |
EPM5004 |
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課程識別碼 |
849 U0330 |
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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 |
星期一2,3,4(9:10~12:10) |
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上課地點 |
公衛212 |
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備註 |
MPH106級生統領域(甲組)必修。
限學士班三年級以上
總人數上限：22人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1102EPM5004_ |
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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 |
主要介紹應用於生技醫藥與公共衛生領域上重要的醫學統計方法。包括
(1) 類別資料之研究設計、基本統計原理的介紹，及列聯表分析方法，
(2) 以廣義線性模式介紹二元與多元類別反應變數之邏輯斯回歸分析以及分析列聯表之對數線性模式，
(3) 重複測量與群集之類別資料的回歸模式建構與統計分析方法，如常用的廣義估計方程式GEE等統計方法。
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課程目標 |
訓練學生了解生技醫藥衛生實務上常見的統計問題與解決問題的統計方法。
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課程要求 |
無 |
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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 |
Agrestic A.(2019) An Introduction to Categorical Data Analysis, 3rd edition,
John Wiley & Sons, INC.
[圖書館電子網址] https://web.p.ebscohost.com/ehost/detail/detail?vid=0&sid=4ebb2ad5-0a88-4245-a74a-33831a3725fc%40redis&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#AN=1913588&db=nlebk |
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參考書目 |
1.Agrestic A.(2007) An Introduction to Categorical Data Analysis, 2nd edition,
John Wiley & Sons, INC.
[圖書館電子網址] http://onlinelibrary.wiley.com/book/10.1002/0470114754
2.Agrestic A.(2002) Categorical Data Analysis, 2nd edition, John Wiley & Sons,
INC.
[圖書館電子網址] https://onlinelibrary.wiley.com/doi/book/10.1002/0471249688
3.Collett D. (2003) Modelling Binary Data, 2nd edition, Chapman & Hall/CRC.
4.Kutner M.H., Nachtsheim C.J., Neter, J., and Li, W. (2005). Applied Linear
Statistical Models, 5th edition. McGraw-Hill.
5.Vittinghoff, E., et al. (2012). Regression Methods in Biostatistics, 2nd edition. Springer.
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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. |
exercises and in-class performance |
30% |
group and individual exercises/ quiz
In-class discussion and working in groups are encouraged.
Still, students must write up own assignments individually. |
2. |
Oral and written reports |
35% |
The report will contain one paper reading and a data analysis for a new data set or for applying new models or methods to an existing data set.
Discussion and participation for other oral reports will be encouraged and counted in the grade. |
3. |
mid-term exam |
35% |
in-class open-book exam |
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週次 |
日期 |
單元主題 |
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第01週 |
02/14 |
Introduction: Distributions for Categorical Data |
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第02週 |
02/21 |
Introduction: Inference for Categorical Data |
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第03週 |
02/28 |
228連假停課乙次 |
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第04週 |
03/07 |
Describing and Inference for Contingency Tables |
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第05週 |
03/14 |
More Inference for Contingency Tables |
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第06週 |
03/21 |
Introduction to Generalized Linear Models |
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第07週 |
03/28 |
Introduction to Generalized Linear Models (2) |
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第08週 |
04/04 |
春假停課乙次 |
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第09週 |
04/11 |
Multiple Logistic Regression Models |
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第10週 |
04/18 |
Building and Applying Logistic Regression Models |
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第11週 |
04/25 |
In-class Written Exam |
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第12週 |
05/02 |
Logit Models for Multinomial Responses |
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第13週 |
05/09 |
Logit Models for Ordinal Responses & Models for Matched Pairs |
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第14週 |
05/16 |
Modeling for Correlated, Clustered Binary Responses
Random Effects: Generalized Linear Mixed Models |
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第15週 |
05/23 |
Oral Report |
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第16週 |
05/30 |
Oral Report |
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