Experimental Design and Data Analysis for Biologists

by Gerry P. Quinn, Michael J. Keough

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.

Genres: Science, Research, Textbooks, Academic

553 pages, Paperback

First published January 28, 2002

Reviews

[Sara Grove]

About as good as it sounds. All you ever wanted to know about regression and variance!

[kate]

very useful

[Jennifer · Rating 2 out of 5]

Spotty coverage. Doesn't explain interactions, model selection, or tricky back-transformations, but covers advanced topics like MANOVA and ordination. Introduces a wide range of techniques, but I'm guessing there are better books that specialize in each of the techniques. On the plus side, all of the examples use ecological datasets.