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

參考書目

An introduction to categorical data analysis (Alan Agresti, second edition, 華泰代理)