Experimental Design and Statistical Analysis for P harmacology and the Biomedical Sciences

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is a practical guide to using basic principles of experimental design and statistical analysis in pharmacology. It is written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments and covers a wide range of statistical concepts and methods. It is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology and allied subjects in the life sciences.

Format: Paperback / softback
Length: 256 pages
Publication date: 05 May 2022
Publisher: John Wiley and Sons Ltd

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is a comprehensive guide that provides practical insights into the application of basic principles of experimental design and statistical analysis in the field of pharmacology and the biomedical sciences. Authored by an experienced experimental pharmacologist with extensive teaching experience in statistics and designing preclinical experiments, this reader-friendly volume offers a clear and concise explanation of the various statistical tests required to analyze pharmacological data and draw accurate conclusions.

The textbook is organized into detailed and accessible chapters, each dedicated to a specific aspect of statistical analysis. The author begins by introducing the fundamental principles of experimental design and statistical analysis, providing a solid foundation for the subsequent chapters. These chapters cover topics such as determining the appropriate statistical tool for a particular type of data, running the statistical test, and analyzing and interpreting the results.

The author then guides readers through a range of statistical concepts and methods, including descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modeling, and more. Numerous examples from molecular, cellular, in vitro, and in vivo pharmacology are included throughout the textbook to illustrate the importance of rigorous statistical analysis in real-world pharmacological and biomedical research.

In addition to its theoretical content, the textbook also emphasizes the rigorous statistical approach needed for publication in scientific journals. It covers a wide range of statistical concepts and methods, such as standard normal distribution, data confidence intervals, and post hoc and a priori analysis. Practical aspects of data collection, identification, and presentation are also discussed, ensuring that readers have a comprehensive understanding of the entire statistical analysis process.

To enhance the learning experience, the textbook features images of the output from common statistical packages, including GraphPad Prism, which allows readers to visualize the results and better understand the statistical concepts discussed.

Overall, Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is an essential resource for pharmacology students, researchers, and practitioners seeking to apply statistical analysis techniques to their research. With its clear and concise explanations, practical examples, and emphasis on rigorous statistical methodology, this textbook provides a valuable tool for advancing the field of pharmacology and the biomedical sciences.

Weight: 712g
Dimension: 217 x 278 x 17 (mm)
ISBN-13: 9781119437635