100年第2學期-4854 類別資料分析 課程資訊

評分方式

評分項目	配分比例	說明
Homework assignments	30
Midterm, Quizzes, or Projects	40
Final	30

教育目標

Introducing advanced statistical models and theories for categorical data used by statistical researchers and practitioners.

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.

基本資料

選修課，學分數：0-3
上課時間：二/10,五/3,4[M438]
修課班級：統計碩1,2
修課年級：年級以上
選課備註：

參考書目

“Categorical Data Analysis” by Alan Agresti