Outline
1.1 Categorical Response Data
Chapter 1. Introduction: Distributions and
Inference for Categorical Data
1.2 Distributions for Categorical data
Deyuan Li
1.3 Statistical Inference for Categorical Data
School of Management, Fudan University
1.4
Outline
10.1: Comparing Dependent Proportions;
Chapter 10. Models for Matched Pairs
10.2: Conditional Logistic Regression for Binary Matched
Paries;
Deyuan Li
10.3: Marginal Models for Squared Contingency Tables;
School of Management, Fudan University
Outline
8.1: Loglinear Model for Two-way contingency Tables;
Chapter 8. Loglinear Models for Contingency
Tables
8.2: Loglinear Model for Independence and Interaction in
Three-way Contingency Tables;
Deyuan Li
8.3: Inference for Loglinear Models;
School
Outline
7.1: Model for Nominal Response;
Chapter 7. Logit Models for Multivariate
Responses
7.2: Model for Ordinal Response;
7.3: other link functions;
Deyuan Li
7.4: alternative ordinal-response models;
School of Management, Fudan University
7.5: te
Outline
Chapter 6. Building and Applying Logistic
Regression Models
6.1 Strategies in Model Selection
6.2 Logistic Regression Diagnostics
Deyuan Li
6.3 Inference about Conditional Association in 2 K Tables
School of Management, Fudan University
Feb. 28
Outline
5.1 Interpreting Parameters in Logistic Regression
Chapter 5. Logistic Regression
5.2 Inference for Logistic Regression
Deyuan Li
5.3 Logit Models with Categorical Predictors
School of Management, Fudan University
5.4 Multiple Logistic Regress
Outline
4.1 Generalized Linear Models
Chapter 4. Introduction to Generalized Linear
Models
4.2 Generalized Linear Models for Binary Data
4.3 Generalized Linear Models for Counts
Deyuan Li
4.4 Moments and Likelihood for Generalized Linear Models
School
Outline
3.1 Condence Intervals for Association Parameters
Chapter 3. Inference for Contingency Tables
3.2 Testing Independence in Two-way Contingency Tables
3.3 Following-up Chi-squared Tests
Deyuan Li
School of Management, Fudan University
3.4 Two-wa
Outline
Chapter 2. Describing Contingency Tables
2.1 Probability Structure for Contingency Tables
2.2 Comparing Two Proportions
Deyuan Li
2.3 Partial Association in Stratied 2 2 Tables
School of Management, Fudan University
Feb. 28, 2011
2.4 Extension
Outline
12.1: Random eects modeling of a clustered categorical data;
Chapter 12. Random Eects: Generalized Linear
Mixed Models for Categorical Responses
12.2: Binary responses: logistic-normal model;
Deyuan Li
12.3: Examples of random eects models for