Predictive Modeling Using Logistic Regression

Classroom duration: 2.0 days Live Web duration: 4 half-day sessions Please note the System Requirements below. Course fee: $1,450 EPTO units: 2.8 CEUs: 1.2

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables, assessing models, treating missing values, and using efficiency techniques for massive data sets.

Learn how to

use logistic regression to model an individual's behavior as a function of known inputs
handle missing data values
tackle multicollinearity in your predictors
assess model performance and compare models.

Who should attend

Modelers, analysts, and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance, and telecommunications industries

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Prerequisites

Before attending this course, you should

have experience executing SAS programs and creating SAS data sets, which you can gain from the SAS Programming I: Essentials course
have experience building statistical models using SAS software
have completed a statistics course that covers linear regression and logistic regression, such as the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.

Course Contents

Predictive Modeling

business applications
analytical challenges

Fitting the Model

parameter estimation
adjustments for oversampling

Preparing the Input Variables

missing values
categorical inputs
variable clustering
variable screening
subset selection

Classifier Performance

ROC curves and Lift charts
optimal cutoffs
K-S statistic
c statistic
profit

Evaluating Many Models

evaluating a series of models

Software

This course addresses SAS/STAT, SAS/GRAPH.

Course Materials

Classroom: Students attend classroom courses in one of our public training centers. You receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.

System Requirements

For Live Web, you must

review and follow the general system requirements.
complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- Base SAS 9 or 8.2 under a Windows operating system; SAS/STAT software; and SAS/GRAPH software. Please note that a portion of this class covers the new features in SAS 9. Students who are using a release earlier than SAS 9 will not be able to complete approximately 20% of the course exercises.

Share Your Thoughts

Not sure if this course suits your needs or which delivery method is right for you? Give us a call at 800-333-7660 or send us e-mail. If you have suggestions for this course or would like for it to be offered at another training facility, let us know by adding to our Interest List.

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