Design and Data Analysis of Biological Experiments (Chinese Edition)

Author: (Australia) Quinn, (Australia) Keough
Publisher:
Publish Date: 2003-12-01
Features: How to design biological experiments, how to arrange experimental treatment areas in space, and how to apply experimental treatments at different times are knowledge for biological researchers. First, when designing biological experiments, whether ecological experiments, cell biology experiments, or biochemical experiments, researchers must refer to professional books on statistics and experimental design to consider selecting appropriate statistical methods. This book introduces common experimental design methods in biological research in an accessible manner, covering statistical methods suitable for both continuous and discrete data. The authors specifically analyze concrete examples from current biological research literature, introducing the application of specific biostatistical methods to facilitate reader comprehension. Through studying this book, readers will understand why a particular experimental design is chosen to investigate a biological question and how to analyze experimental data. Additionally, the authors provide the website where all original data in the book can be accessed, allowing readers to analyze these raw data using biostatistical software packages. Finally, the authors devote considerable space to explaining how to concisely present the results of biostatistical analysis. By studying this book, readers will be able to understand the basic assumptions of biological statistical models, optimize experimental and sampling processes using limited time and resources, correctly apply appropriate statistical models to analyze biological data from designed experiments or field collections, and interpret the results output by biostatistical software packages. This book is suitable as a textbook or reference for senior undergraduate and graduate students in biological disciplines, biotechnology, and related fields such as agriculture, forestry, medicine, and more. It can also serve as a reference book for researchers on experimental design and biostatistical analysis.