Introductory Applied Biostatistics
Introductory Applied Biostatistics by Ralph B. D’Agostino, published by Thomson, Brooks/Cole in 2006, is a comprehensive resource consisting of 652 pages. This book provides a solid foundation for students learning to apply and interpret statistical applications specifically within the medical and public health fields. The text is designed to be both relevant and practical, featuring numerous examples drawn from the authors’ clinical experiences in applied biostatistics.
Readers will find that the book emphasizes mastering application techniques by hand before transitioning to computer applications, including SAS programming code and output for each technique discussed. The majority of the content focuses on statistical inference methods, such as one- and two-sample tests for means and proportions, analysis of variance techniques, correlation, and regression analysis. Each topic is thoroughly addressed, covering methodology, assumptions, statistical formulas, and the appropriate interpretation of results, making it a valuable tool for those studying biostatistics and related fields.
Official synopsis Publisher
INTRODUCTORY APPLIED BIOSTATISTICS provides a solid and engaging background for students learning to apply and appropriately interpret statistical applications in the medical and public health fields. The many examples drawn directly from the authors’ remarkable clinical experiences with applied biostatistics make this text relevant, practical, and interesting for students. This flexible textbook encourages students to master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. The majority of the textbook addresses methods for statistical inference, including one- and two-sample tests for means and proportions, analysis of variance techniques, correlation, and regression analysis. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results.
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