## Q603: Categorical Data Analysis

### Class Description

Health and health behavior science data often consist of categorized data. In this course, students will learn description and inference for binomial and multinomial variables using proportions and odds ratios; developing a critical approach to the analysis of contingency tables; examining the basic ideas and methods of generalized linear models; linking logit and log-liner methods with generalized linear models; developing basic facility in the analysis of discrete data using SAS.

### Class Information

**School/Department: **Public Health

**Semester(s): **Spring

**Year(s) Offered: **_2018

**Class time: **
Tuesday, Thursday : 2:30PM - 3:45PM

**Capacity: ** 20

### Contact Information

**Instructor: **Zhongxue Chen

**Other Contact(s): ** Zhongxue Chen - zc3@indiana.edu

### Other Details

**Sequence: ** The required course for the MPH Biostatistics concentration

**Prerequisites: ** SPH Q501

**Algebra Required?: ** Used for notation/homework

**Calculus Required?: ** User for notation/homework

**Day(s) per week offered: ** 2

**Recommended follow-up classes: ** Q601, Q611, Q612

**Books used: ** An Introduction to Categorical Data Analysis, 2nd Ed., 2007 by Alan Agresti. John Wiley & Sons, ISBN 9780471226185.
Categorical Data Analysis Using SAS, 3rd Ed,. Stokes, Davis and Koch. SAS Institute 2012. ISBN: 1607646641.

**Applied/Theoretical: ** applied with the ideas of the theorem behind the methods

**Formal Computing Lab?: ** No

**Software Used: **
SAS

**How the software is used: ** data analysis

**Problem Sets: ** Yes

**Data Analysis: ** Yes

**Presentations: ** Yes, for course project

**Exams: ** Midterm

**Keywords: ** categorical data analysis, logitic regression

**Comments: ** Open to graduates only.