Experimental Design for the Life Sciences
The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable. It demonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity.
With a refreshingly approachable and articulate style, Experimental Design for the Life Sciences walks you through the considerations that go into designing an experiment in clear, practical terms. Using examples drawn from across the life sciences – from ecology, biochemistry, molecular biology, genetics, and health sciences – the authors illustrate how these concepts are applied within the broad context of real biological research.
New to this edition
- New chapters dedicated to key concepts such as pseudoreplication, statistical power, and different types of design.
- Completely reorganized structure, which emphasizes how the features of a particular biological question of interest will naturally draw you to different types of design and of data analysis.
- Updated examples drawn from across the life sciences.
- Enhanced Online Resource Centre, with additional examples, supplementary sections on complex concepts and statistical issues, and suggested course structures with practical exercises.
Online Resource Centre
The Online Resource centre to accompany Experimental Design for the Life Sciences features:
For students:
- Self-test questions and answers
- Additional examples
- Supplementary sections discuss complex concepts and statistical issues in more depth
- Links to useful websites and free software
For lecturers:
- Suggested course structures, complete with practical exercises
1: Why you should care about design
2: Starting with a well-defined hypothesis
3: Selecting the broad design of your study
4: Between-individual variation, replication, and sampling
5: Pseudoreplication
6: Sample size, power, and efficient design
7: The simplest type of experimental design: completely randomized single-factor
8: Experiments with several factors (factorial designs)
9: Beyond complete randomization: blocking and covariates
10: Within-subject designs
11: Taking measurements
| Pm Supplier | OUP /Oxford University Press Distribution |
|---|---|
| Pm Publisher | Oxford University Press |
| Pm Isbn 10 | 0198717350 |
| Pm Isbn 13 | 9780198717355 |
| Pm Publication Date | 2016-06-09 |
| Pm Width | 189 |
| Pm Height | 13 |
| Pm Author | Ruxton,Graeme D, Colegrave,Nick |
| Pm Longness | 246 |
- Key Info: 35 b/w illustrations
- Author: Ruxton,Graeme D, Colegrave,Nick
- Page Count: 202
- Publication Date: 2016-06-09
Experimental Design for the Life Sciences
- Key Info: 35 b/w illustrations
- Author: Ruxton,Graeme D, Colegrave,Nick
- Page Count: 202
- Publication Date: 2016-06-09