The Predictive Modeling Using Logistic Regression training 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.
By attending Predictive Modeling Using Logistic Regression workshop, delegates will learn 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
- Have experience executing SAS programs and creating SAS data sets
- Have experience building statistical models using SAS software
- Knowledge of linear regression and logistic regression
This Predictive Modeling Using Logistic Regression class is ideal for Modelers, analysts and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries.