Using R for Biostatistics

This book is an updated version of Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, covering data organization, statistical analysis, and graphical presentation using the open-source R software language. It emphasizes the importance of efficient data management, statistical analyses from multiple perspectives, and high-quality graphics for professional publication. The book covers parametric and nonparametric tests, as well as graphical functions using the lattice and ggplot2 packages. It is suitable for novice learners and experienced practitioners, with a robust supplementary material and an introduction to the development of R and biostatistics.

Format: Paperback / softback
Length: 902 pages
Publication date: 04 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of open-source R, a powerful software language widely utilized in biostatistics for data organization, statistical analysis, and graphical presentation. Since the publication of the authors' groundbreaking work, Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, in 2014, the R user community has experienced remarkable growth, and the R language has matured and expanded in its capabilities. This revised edition further enhances the skill sets of students and practitioners in the biological sciences by providing comprehensive guidance on efficient data management, insightful statistical analyses from diverse perspectives, and the creation of high-quality graphics for professional research publication.

A fundamental aspect of research across the diverse biological sciences is the reliance on empirical data for decision-making. The authors commence by exploring data from a parametric perspective, covering topics such as Student t-Tests for independent samples and matched pairs, one-way and two-way analyses of variance, and correlation and linear regression. Additionally, they emphasize the significance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for One-way Analysis of Variance, and the Friedman Two-way Analysis of Variance.

To address the crucial element of data presentation, the book offers an extensive review of the numerous graphical functions available within the R ecosystem. The R community now boasts an extensive library of over 15,000 external packages, making it a rich resource for data visualization and analysis. The authors place particular emphasis on graphics utilizing the lattice package and the ggplot2 package, which are widely recognized for their elegance and versatility. Additionally, they introduce less common but equally valuable figures, such as bean plots, strip charts, and scatter plots, to enhance the visual representation of data.

By presenting a comprehensive and up-to-date exploration of the R software language and its applications in biostatistics, this book serves as a valuable resource for students, researchers, and practitioners alike. It equips readers with the necessary skills and knowledge to effectively handle data, conduct meaningful statistical analyses, and present research findings with clarity and impact, contributing to the advancement of biological sciences and beyond.

Weight: 1753g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030624064
Edition number: 1st ed. 2021