Applied Regression and ANOVA Using SAS

Applied Regression and ANOVA Using SAS® is an intermediate-level applied statistics book that discusses the characteristic features, reasons for use, and underlying assumptions of linear regression and ANOVA methods. It provides step-by-step approaches with annotated SAS programs and covers SAS programming basics. The book is valuable for experienced and entry-level SAS users, offering practical advice on interpreting results and suggesting alternative approaches when ideal inference conditions are unreasonable. It is suitable for graduate-level courses in non-statistical disciplines and applied undergraduate courses in statistics or biostatistics.

Format: Hardback
Length: 406 pages
Publication date: 07 June 2022
Publisher: Taylor & Francis Inc

Applied Regression and ANOVA Using SAS® is a comprehensive guide designed to assist non-statisticians and applied statisticians in understanding the insights their data provides. Written with a focus on interpretation, this intermediate-level applied statistics book delves into the characteristics, applications, and underlying assumptions of various methods. The authors introduce each method by discussing its unique features, rationale, and underlying assumptions, ensuring a clear understanding of its practical implications.

To facilitate the application of these methods, the authors offer a step-by-step approach, accompanied by annotated SAS programs. This practical approach empowers readers to apply the techniques effectively, regardless of their level of SAS software expertise.

In the first chapter, the book provides a foundational understanding of SAS programming, covering essential concepts and syntax. Subsequent chapters offer detailed programming insights on a need-to-know basis, enabling experienced SAS users to enhance their skills and newcomers to gain a solid foundation.

One of the key features of Applied Regression and ANOVA Using SAS® is its emphasis on presenting statistical concepts in a clear and accessible manner, devoid of matrix algebra and calculus. This approach makes the book suitable for individuals with limited mathematical backgrounds, allowing them to grasp the fundamental principles of statistical analysis.

Numerous SAS programs are included throughout the book, accompanied by examples that require minimal programming effort to produce high-resolution publication-ready graphics. This feature enhances the practicality of the text, enabling readers to apply the methods and interpret the results with ease.

Furthermore, the book offers practical advice on interpreting results in light of recent perspectives on threshold p-values, multiple testing, simultaneous confidence intervals, confounding adjustment, bootstrapping, and predictor variable selection. By considering these factors, readers can make informed decisions based on their data, ensuring the validity and reliability of their conclusions.

Applied Regression and ANOVA Using SAS® is an invaluable resource for non-statisticians and applied statisticians who analyze and interpret real-world data. It serves as a valuable tool in graduate-level courses for non-statistical disciplines and can also be effectively utilized in applied undergraduate courses in statistics or biostatistics. With its comprehensive coverage, practical approach, and emphasis on interpretation, this book empowers readers to unlock the full potential of their data and make informed decisions based on empirical evidence.

Weight: 952g
Dimension: 260 x 186 x 31 (mm)
ISBN-13: 9781439869512