Advance your skills in building predictive models with SAS!

Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. By emphasizing introductory examples and interpretation of output, this book provides readers with a clear understanding of how to build the following types of models:

• general linear models
• quantile regression models
• logistic regression models
• generalized linear models
• generalized additive models
• proportional hazards regression models
• tree models
• models based on multivariate adaptive regression splines

Building Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.

Author: Robert N. Rodriguez
Binding Type: Paperback
Publisher: SAS Institute
Published: 05/19/2023
Pages: 464
Weight: 2.35lbs
Size: 11.00h x 8.50w x 0.94d
ISBN: 9781635261554