104年第2學期-1765 類別資料分析 課程資訊
課程分享
選課分析
本課程名額為 70人,已有80人選讀,尚餘名額-10人。
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Attendance | 10 | |
Quiz 1 | 15 | |
Quiz 2 | 15 | |
Midterm exam | 20 |
授課教師
黃愉閔教育目標
As described in course description. But for computation, we will majorly use R or Splus software. We will discuss several case examples using SAS.
課程概述
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.
課程資訊
基本資料
選修課,學分數:0-3
上課時間:二/3[M117] 一/3,4[M218]
修課班級:統計系2-4
選課備註:A 群組;需先修習統計學下期
教師與教學助理
授課教師:黃愉閔
大班TA或教學助理:尚無資料
Office Hour地點: 第二教學區 管理學院 M436
時間: 二/5,6 三/3,4
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
An introduction to categorical data analysis (Alan Agresti, second edition, 華泰代理)