Regression Analysis in Medical Research: for Starters and 2nd Levelers

A textbook and tutorial for students and professionals on regression analysis of cause-effect relationships, with updated information on history, background, and purposes, and original statistical software tables and graphs to improve usage and understanding.

Format: Paperback / softback
Length: 475 pages
Publication date: 03 March 2022
Publisher: Springer Nature Switzerland AG

Regression analysis has emerged as a crucial cornerstone of medical and health research, playing a pivotal role in understanding the intricate relationships between causes and effects. This comprehensive textbook, originally published in 2017, has been revised and updated in its second edition to cater to a diverse audience, including students, professionals, and those seeking refreshers or assistance in the field.

Recognizing the need for comprehensive coverage of regression methods, the authors have dedicated significant effort to address the scarcity of information in this area. The first edition of the textbook achieved its goals, but some readers expressed a preference for original statistical software output sheets over the editorial art work. Consequently, the editorial art work has been meticulously replaced with original statistical software tables and graphs, enhancing the usability and understanding of the methods.

In recent years, the volume of big data has surged, driven by advancements in technology and the emergence of new data sources. The COVID-19 pandemic has further accelerated this trend, highlighting the importance of statistical software companies in developing innovative analytic programs capable of accounting for outliers and skewness. As a result, novel fields of regression analysis, such as sparse canonical regressions and quantile regressions, have been incorporated into the second edition of the textbook.

This comprehensive textbook provides a thorough introduction to regression analysis, covering a wide range of topics from basic concepts to advanced techniques. It begins with an overview of the theory and principles behind regression analysis, followed by detailed explanations of various regression models, including linear, nonlinear, and mixed models. The book also discusses the importance of data preparation, model selection, and interpretation, emphasizing the significance of statistical inference and hypothesis testing.

Throughout the text, real-world examples and case studies are used to illustrate the practical applications of regression analysis in various fields, such as medicine, psychology, economics, and social sciences. These examples help to reinforce the theoretical concepts and provide a hands-on understanding of the analytical process.

In addition to its theoretical content, the textbook includes extensive appendices that provide detailed explanations of statistical concepts, formulas, and computational methods. These appendices are designed to support students who may need additional background information or assistance in applying the regression analysis techniques.

The second edition of this textbook has been carefully revised and updated to reflect the latest developments in the field. It includes new chapters on machine learning and big data regression, as well as updated coverage of statistical software packages and computational tools. The book also incorporates feedback from previous editions and incorporates suggestions from experts in the field to ensure its accuracy and relevance.

Whether you are a student embarking on a career in medical and health research, a professional seeking to enhance your knowledge and skills in regression analysis, or simply someone interested in understanding the complexities of cause cause-effect relationships, this comprehensive textbook is an invaluable resource. It provides a solid foundation in regression analysis, equipping you with the tools and knowledge necessary to make informed decisions and contribute to the advancement of scientific knowledge.

Weight: 726g
Dimension: 234 x 154 x 29 (mm)
ISBN-13: 9783030613969
Edition number: 2nd ed. 2021