Principles of Biostatistics, 2nd Edition

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Published by Brooks/Cole which later became Cengage Learning, the “Principles of Biostatistics, 2nd Edition” is a comprehensive guide designed for students in the natural and health sciences looking to delve into modern research methods. Developed from a course at the Harvard School of Public Health, this book caters to graduate students and healthcare professionals alike.

The content of the book is structured into three parts, with an emphasis on building a strong foundation before delving into more complex topics. The initial chapters cover basic numerical collections, summarization techniques, and exploratory methods. The subsequent chapters introduce probability theory to lay the groundwork for understanding uncertainty and preparing readers for further analysis of variability, populations, and samples. This progressive approach aims to make challenging concepts more accessible to readers.

About the Authors

Marcello Pagano is a Professor of Statistical Computing at the Harvard School of Public Health. His research focuses on computer-intensive inference and surveillance methods, particularly in screening methodologies and improving testing accuracy.

Kimberlee Gauvreau is an Associate Professor in the Department of Biostatistics and Pediatrics at Harvard Medical School. Dr. Gauvreau specializes in biostatistics within pediatric cardiology, including developing methods for adjusting case mix complexity.

FAQs

1. Who is the target audience for the “Principles of Biostatistics, 2nd Edition”?

The book is primarily aimed at students in the natural and health sciences, as well as healthcare professionals seeking to enhance their understanding of modern research methods in biostatistics.

2. What is the structure of the book?

The book is divided into three parts focusing on numerical collections, summarization techniques, probability theory, and variability analysis related to populations and samples.

3. What makes this book unique?

This book offers a progressive learning approach by starting with foundational concepts before moving on to more advanced topics, making it easier for readers to grasp complex statistical principles.

Conclusion

“Principles of Biostatistics, 2nd Edition” serves as a valuable resource for individuals looking to deepen their understanding of biostatistics and research methods in the natural and health sciences. With a focus on building a strong foundation and gradually introducing more complex concepts, this book equips readers with the knowledge and skills necessary to navigate the world of statistical analysis in various scientific fields.

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