Experimental Design and Data Analysis for Biologists

by Gerry P. Quinn , Michael J. Keough

• ISBN13: 9780521009768
• ISBN10: 0521009766
• Format: Paperback
• Copyright: 2002-04-02
• Publisher: Cambridge University Press

Summary

This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

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.