課程大綱：屬性數據分析培訓
一 Chapter 1 Introduction
1.1 Preface to Categorical Data Analysis
1.2 Probability Distributions for Categorical Data + 1.3 Statistical Inference for A Proportion
一章相關程序
homework 1
二 Chapter 2 Contingency Tables（1）
2.1 Probability Structure for Contingency Tables
2.2 Comparing Proportions in Two-by-Two Tables
2.3 The Odds Ratio
2.4 Chi-Square Test of Independence
三 Chapter 2 Contingency Tables（2）+ 程序課
2.5 Testing Independence for Ordinal Data
2.6 Exact Inference for Small Samples
2.7 Association in Three-Way Tables
一章二章程序課
二章相關程序
homework 2
四 Chapter 3 Generalized Linear Model（1）
3.1 Components of A Generalized Linear Model
3.2 Generalized Linear Models for Binary Data
五 Chapter 3 Generalized Linear Model（2）
3.3 Generalized Linear Models for Count Data
3.4 Statistical Inference and Model Checking
三章相關程序
homework 3
七 Chapter4 Logistic Regression（1）
4.1 Interpreting the Logistic Regression Model
4.2 Inference for Logistic Regression
課程論文寫作要求及參考案例
課程論文寫作要求及評分細則
八 Chapter4 Logistic Regression（2）
4.3 Logistic Regression with Categorical Predictors
4.4 Multiple Logistic Regression
四章相關程序
homework4
九 Chapter5 Building and Applying Logistic Regression Models
homework5
5.1 Strategies in Model Selection
5.2 Model Checking
5.3 Effects of Sparse Data
五章相關程序
十 Chapter6 Multicategory Logit Models（1）
6.1 Logit Model for Nominal Responses
6.2 Cumulative Logit Models for Ordinal Responses
6.3 Paired-Category Ordinal Logits
十一 Chapter6 Multicategory Logit Models（2）+程序課
6.4 Test of Conditional Independence
三、四、五、六章程序演示
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