Experimental Design and Data Analysis for Biologists

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. Publisher Description (unedited Publisher Data) An Essential Textbook For Any Student Or Researcher In Biology Needing To Design Experiments, Sampling 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 Web-site That Provides All Data Sets, Questions For Each Chapter And Links To Software. Introduction -- Estimation -- Hypothesis Testing -- Graphical Exploration Of Data -- Correlation And Regression -- Multiple And Complex Regression -- Design And Power Analysis -- Comparing Groups Or Treatments : Analysis Of Variance -- Multifactor Analysis Of Variance -- Randomized Blocks And Simple Repeated Measures : Unreplicated Two Factor Designs -- Split-plot And Repeated Measures Designs : Partly Nested Analyses Of Variance -- Analyses Of Covariance -- Generalized Linear Models And Logistic Regression -- Analyzing Frequencies -- Introduction To Multivariate Analyses -- Multivariate Analysis Of Variance And Discriminant Analysis -- Principal Components And Correspondence Analysis -- Multidimensional Scaling And Cluster Analysis -- Presentation Of Results. Gerry P. Quinn, Michael J. Keough. Includes Bibliographical References (p. [511]-526) And Index. An essential textbook for any biologist needing to design experiments, sampling programs or analyse the resulting data. Worked examples are used to illustrate the analyses and an extensive reference list provides links to the relevant biological and statistical literature. A supporting web-site contains datasets, questions and software links. Biologists and environmental scientists today must contend with the demands of keeping up with their primary field of specialization, and at the same time ensuring that their set of professional tools is current.