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Predictive Modeling Using Logistic Regression

4h 19m + Hands-On Practice

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Predictive Modeling Using Logistic Regression

PMLR : PMLR51

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, 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.

Create effect plots and odds ratio plots using ODS Statistical Graphics.

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

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 2: Data Manipulation Techniques 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 1: Introduction to ANOVA, Regression, and Logistic Regression course.

SAS Products Covered

SAS/STAT

Course Outline

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 a series of models.

Live Class Schedule

Duration: 16 hours

Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.

Live Class Schedule					SOLD SEPARATELY
DATES ▼	LOCATION ▲ ▼	TIME ▲ ▼	LANGUAGE	EVENT FEE
18-21 NOV 2025	Live Web, US	1:00 PM-4:30 PM EST	English	2,000 USD

Private Training

Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.

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Mentoring Services

Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.

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