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Annals of Botany 90: 776-777, 2002
© 2002 Annals of Botany Company

Grafen, A., Hails, R. Modern statistics for the life sciences

David Causton

Modern statistics for the life sciences.
Grafen A, Hails R. 2002.
Oxford: Oxford University Press.
£22.99 (softback). xvi + 351 pp.

The first 150 words of the full text of this article appear below.

Once upon a time it was said (correctly) that analysis of variance (ANOVA) in its many forms was simply a special case of multiple linear regression. However, for several decades now, statisticians have recognized that even multiple regression is just part of a much wider class of statistical models known as generalized linear models. Not only do such models include all the different types of ANOVA and linear regression (which itself includes the regression analysis of certain curved relationships, such as polynomials) methods, but they also include the analysis of covariance, orthogonal comparisons (contrasts), non-orthogonal (unbalanced) analyses of variance, many multivariate methods and several other statistical methods not usually covered in the more elementary textbooks.

Several books have already appeared on the topic of generalized linear models, but these have been aimed at professional statisticians and users of statistical methods who have a more mathematical turn of mind. This is . . . [Full Text of this Article]


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