Predictive Modeling with Logistic Regression using SAS
About this Course
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. You learn to use logistic regression to model an individual\'s behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.Created by: SAS
Related Online Courses
This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales... more
This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and... more
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.Created by: Johns Hopkins University more
This specialization is intended for anyone seeking to improve their health, protect our planet and build a stronger, more positive relationship with food. The courses aim to improve knowledge about... more
Organizations can harness the power of causal inference through randomized field experiments, uncovering the true effects of interventions and enabling data-driven decision-making. In this course,... more
Powered by
