Biostatistical Design and Analysis Using R

Biostatistical Design and Analysis Using R: A Practical Guide provides a comprehensive introduction to applying R as a powerful tool for biostatistical analysis. Designed with both theory and practice in mind, this book is an ideal resource for biologists and researchers seeking to enhance their statistical skills while becoming familiar with the versatile R environment. Dr Murray Logan presents clear and concise explanations that bridge foundational statistical principles with practical R applications. The text covers essential topics such as simple hypothesis testing, graphing, and exploratory data analysis alongside detailed sections on regression analysis (linear, multiple, and non-linear). It also delves into simple and complex designs in ANOVA and ANCOVA—including nested, factorial, blocking, split-plot, and repeated measures approaches—as well as frequency analysis and generalized linear models. Linear mixed effects modeling is featured throughout as a robust alternative to traditional techniques. A companion website, accessed at www.wiley.com/go/logan/r, offers a wealth of resources including all R scripts, data sets used in the book, additional worked examples, and other valuable instructional materials, making it a practical guide to designing and analyzing real biological research.