Categorical Data Analysis Using Logistic Regression (CDALR)

Duration

3 days

Description

This course focuses on analyzing categorical response data in scientific fields. The SAS procedures addressed are PROC FREQ, PROC LOGISTIC, and PROC GENMOD. The topics include performing stratified data analysis, using model-building strategies, assessing the fit of a binary logistic regression model, and detecting interactions and nonlinear effects. You will also learn how to fit ordinal logistic regression models, GEE models, exact logistic regression models, conditional logistic regression models, and nominal logistic regression models.

Prerequisite Skills

Before attending this course, you should:

• be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming I: Essentials course.
• have experience analyzing frequency tables using SAS software.
• have completed a course in statistics that covers linear regression and logistic regression. You can gain this experience by completing the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.

You do not need formal training in forecasting or statistics to benefit from this course. Programming experience is also not required.

Course Topics

Contingency Table Analysis

• using measures and tests of association performing
• stratified data analysis

Binary Logistic Regression

• fitting the model
• using model selection strategies
• assessing the fit of the model

Advanced Regression Topics

• fitting GEE models
• fitting ordinal logistic regression models
• fitting nominal logistic regression models
• fitting exact logistic regression models
• fitting conditional logistic regression models

Booking

Please contact the Education Team at SAS for the latest information on all SAS courses or to put your name on our specialised course waiting list.