Experimental Design and Data Analysis for Biologists
Experimental Design and Data Analysis for Biologists
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9781107687677An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
- An essential textbook that covers the full range of topics required by any biologist designing experiments or analysing the resulting data
- Extensive worked examples using real data sets
- Web page support with downloadable data sets, example questions and relevant links at http://www.zoology.unimelb.edu.au/qkstats
Reviews & endorsements
"This massive books fills an important niche: a reference book on advanced statistical methods for research biologists...It's impressive because it is totally new...Even more interesting is the fact that the data are actually available free for downloading from a website...there is so much packed into this book that I view it more as a reference than a textbook...it is wonderful and loaded with all the newest methods. I recommend it to readers who venture into more advanced statistics." Natural Areas Journal
"...it is evident that a great deal of scholarship has gone into this book and that there is much good advice in it." Ecology
"... the book is highly recommended. It provides a broad and in-depth overview over most of the commonly used statistical methods." Ethology
Product details
February 2005Adobe eBook Reader
9780511075018
0 pages
0kg
125 b/w illus. 85 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
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Table of Contents
- 1. Introduction
- 2. Estimation
- 3. Hypothesis testing
- 4. Graphical exploration of data
- 5. Correlation and regression
- 6. Multiple regression and correlation
- 7. Design and power analysis
- 8. Comparing groups or treatments - analysis of variance
- 9. Multifactor analysis of variance
- 10. Randomized blocks and simple repeated measures: unreplicated two-factor designs
- 11. Split plot and repeated measures designs: partly nested anovas
- 12. Analysis of covariance
- 13. Generalized linear models and logistic regression
- 14. Analyzing frequencies
- 15. Introduction to multivariate analyses
- 16. Multivariate analysis of variance and discriminant analysis
- 17. Principal components and correspondence analysis
- 18. Multidimensional scaling and cluster analysis
- 19. Presentation of results.
