| Sumario: | 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 modelsquantile regression modelslogistic regression modelsgeneralized linear modelsgeneralized additive modelsproportional hazards regression modelstree modelsmodels based on multivariate adaptive regression splinesBuilding Regression Models with SAS is an essential guide to learning about a variety of models that provide interpretability as well as predictive performance.
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