This book offers novel statistics methods and software to solve complex biomedical problems, covering diverse areas like genomics, cancer, and mental disorders, with a user-friendly approach for a broad audience.

Format: Hardback
Length: 276 pages
Publication date: 10 August 2023
Publisher: Springer International Publishing AG

This book offers innovative statistical methods and reproducible software to tackle complex problems in biomedicine. It comprises 11 chapters contributed by renowned experts in the mathematical and statistical fields, addressing diverse biomedical areas such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The book's mathematical rigor is presented in a user-friendly manner, making it accessible to a wide audience, including trainees, students, doctors, scientific researchers, university departments, and PhD students.

Book Title: "Statistical Methods and Reproducible Software for Biomedicine"

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some of the leading experts in the mathematical and statistical field which address new challenges in very disparate biomedical areas, such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The mathematical rigor is written in a user-friendly way to serve a general biomedical audience ranging from trainees or students to doctors, as well as scientific researchers, university departments, and PhD students.

Key Features:

• Innovative Statistical Methods: The book introduces innovative statistical methods that can be applied to various biomedical problems. These methods include machine learning, Bayesian inference, and statistical modeling, among others. These methods are designed to handle large and complex datasets, and they can provide accurate and reliable results.
  
• Reproducible Software: The book provides reproducible software that can be used to implement the statistical methods described in the chapters. This software is available for free download, and it can be used on various operating systems. This allows researchers to reproduce the results of the studies and to validate their findings.
  
• Diverse Biomedical Areas: The book covers a wide range of biomedical areas, including genomics, cancer, circadian biology, microbiome, mental disorders, and more. This allows researchers to gain a comprehensive understanding of the field and to apply their knowledge to solve real-world problems.
  
• User-Friendly Writing: The book is written in a user-friendly way to serve a general biomedical audience. It includes clear explanations of the statistical methods, and it provides examples and case studies to illustrate the concepts. This makes the book accessible to a wide range of readers, including trainees, students, doctors, scientific researchers, university departments, and PhD students.
  
• Scientific Research: The book provides scientific research that is relevant to the field of biomedicine. The chapters include original research, review articles, and case studies, and they are written by experts in the field. This research can help to advance our understanding of the field and to develop new treatments and therapies.
  
• University Departments and PhD Students: The book is designed to be used by university departments and PhD students. It provides a comprehensive overview of the field, and it includes exercises and assignments that can help students to develop their skills. This book can also be used as a reference for scientific researchers.
  
• Conclusion: This book presents novel statistics methods and reproducible software that can help to solve challenging problems in biomedicine. It covers a wide range of biomedical areas, and it is written in a user-friendly way to serve a general biomedical audience. The book provides scientific research that is relevant to the field, and it is designed to be used by university departments and PhD students. If you are interested in learning more about statistics and biomedicine, then this book is a must-read.

  
  Dimension: 235 x 155 (mm)
  ISBN-13: 9783031327285
  Edition number: 1st ed. 2023