Biostatistics with R

Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on www.cambridge.org/biostatistics.

• Provides simple explanations with examples from biological disciplines ensuring that even students with limited mathematical skills can understand the statistical methods
• Offers step-by-step demonstrations of data analysis improving readers' skills in choosing an appropriate statistical method, conducting the test and correctly interpreting the results
• Clarifies which information is essential in Methods and Results sections in research papers and reports developing readers' publication skills