Instructor	Dipankar Bandyopadhyay Assistant Professor Department of Biostatistics, Bioinformatics, and Epidemiology 135 Cannon Street, Suite 305 E  Medical University of South Carolina
Class Schedule	Tuesday, Thursday 1.30 PM - 3.00 PM Cannon Place, Room # 304 (DB2E Conference Room)
Office Hours	Thursdays  3.00 PM - 4.00 PM, or by appointment
Required Texts	A. Agresti: Categorical Data Analysis, 2nd Edition, Wiley, 2002 D. Kleinbaum & M. Klein: Logistic Regression: A self-learning text, 2nd Edition, Springer, 2002
General Class Outline and Reading Blocks	Introduction (Agresti Chapter 1) Contingency Tables (Agresti Chapters 2, 3) Generalized Linear Models (Agresti Chapter 4, Kleinbaum & Klien Chapters 4) Logistic Regression (Kleinbaum & Klien Chapters 1 - 3, Agresti Chapter 5) Model Building Strategies (Agresti Chapter 6, Kleinbaum & Klien Chapters 6 & 7) Logit Models for Multinomial Responses (Agresti Chapter 7, Kleinbaum & Klien Chapters 9 & 10) Log-linear Models (Agresti Chapter 8) Models for Matched and Correlated Data (Agresti Chapters 10, 11, Kleinbaum & Klien Chapters 8, 11 - 13)
Grading	Homework sets and class participation (30% total) Two midterm exams (20% each) Midterm Exam 2                                                             Data (Problem1) Final exam (30%): Inclass May 2 (Wed, 11.30AM-12.30AM)

Date	Lecture Title
1/9/07	Class Introduction Lecture 1: Introduction
1/11/07	Lecture 2: Inference on Binomial parameters
1/16/07	Lecture 3: Inference on Multinomial parameters
1/18/07	Lecture 4: Association Measures
1/23/07	Lecture 5: Contingency Tables
1/25/07	Lecture 6: Contingency Tables continued
1/30/07	Lecture 7: Testing Independence
2/01/07	Lecture 8: Summary Measures
2/06/07	Lecture 9: Association Measures in Contingency Tables
2/08/07	Lecture 10: Partitioning Chi Squares/Residual Analysis
2/13/07	Lecture 11: Generalized Linear Models: Introduction
2/15/07	Lecture 12: Generalized Linear Models for Binary Data
2/22/07	Lecture 13: Generalized Linear Models for Poisson Data
2/27/07	Lecture 14: GLM Estimation
3/01/07	Lecture 15: Logistic Regression/Common Odds Ratio (Part 1)
3/06/07	Lecture 16: Logistic Regression/Common Odds Ratio (Part 2)
3/08/07	Lecture 17: Logistic Regression: Homogeneity of OR
3/19/07	Lecture 18: Logistic Regression Continued Cancer Data SAS Program SAS Output (Diagnostics)
3/27/07	Lecture 19: Conditional Logistic Regression
4/03/07	Lecture 20: Polytomous Logit Models SAS Program
4/05/07	Lecture 21: Polytomous Logit Models Contd Arthiritis Data
4/10/07	Lecture 22: Log-linear Models
4/17/07	Lecture 23: Log-linear Models Contd SAS Program STATA Data
4/19/07	Lecture 24: Log-linear Models for Sparse Data SAS Code
4/24/07	Lecture 25: Models for Matched Pairs
4/26/07	Lecture 26: Conditional logistic regression for Matched Pairs
4/27/07	Lecture 27: Introduction to Correlated Binary Data

* Printing instruction: The PDF files can be printed more than one slide to a page by accessing the advanced printer options on your printer (not all printers are capable, but the photocopiers are)