1765 - 類別資料分析 英授 Taught in English
Analysis of Categorical Data
教育目標 Course Target
As described in course description. But for computation, we will majorly use R or Splus software. We will discuss several case examples using SAS.
As described in course description. But for computing, we will majorly use R or Splus software. We will discuss several case examples using SAS.
課程概述 Course Description
Categorical data analysis that deals with qualitative or discrete quantitative data is one of the most important statistical tools nowadays. In recent years, this tool plays a fundamental role on analyzing polychotomous data, particularly in the social and health sciences. This course introduces statistical theories and models for analyzing categorical data. The main topics cover :
(1) likelihood-based inferences on measures of association for two-dimensional and three-dimensional contingency tables under different assumptions. (2) generalized linear (mixed) models with emphasis on binary (Poisson) regression and logit models. (3) Repeated categorical data modeling, such as generalized estimating equation approaches and quasi-likelihood methods. (4) Asymptotic results and other advanced topics.
Categorical data analysis that deals with quality or discrete quantitative data is one of the most important statistical tools nowadays. In recent years, this tool plays a fundamental role on analyzing polychotomous data, particularly in the social and health sciences. This course introduces statistical theories and models for analyzing category data. The main topics cover :
(1) likelihood-based inferences on measures of association for two-dimensional and three-dimensional contingency tables under different assumptions. (2) generalized linear (mixed) models with emphasis on binary (Poisson) regression and logit models. (3) Repeated category data modeling, such as generalized estimating equation approaches and quasi-likelihood methods. (4) Asymptotic results and other advanced topics.
參考書目 Reference Books
An introduction to categorical data analysis (Alan Agresti, second edition, 華泰代理)
An introduction to category data analysis (Alan Agresti, second edition, Huatai agent)
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Attendance Attendance |
10 | |
|
Quiz 1 Quiz 1 |
15 | |
|
Quiz 2 Quiz 2 |
15 | |
|
Midterm exam Midterm exam |
20 | |
|
Final exam Final exam |
30 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1765
- 學分 Credit: 0-3
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上課時間 Course Time:Tuesday/3[M117] Monday/3,4[M218]
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授課教師 Teacher:黃愉閔
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修課班級 Class:統計系2-4
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選課備註 Memo:A 群組；需先修習統計學下期
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