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This volume presents the results of biological and medical research with the statistical methods used to obtain them. Nowadays the fields of biology and experimental medicine rely on techniques for the processing of experimental data and for the evaluation of hypotheses. Thus it is increasingly necessary to stimulate awareness of the importance, variety and flexibility of statistical techniques (and of the possible traps that they can hide) by using real data in concrete situations drawn from research activity, instead of hypothetical examples. The approaches taken to deal with the various topics in the book may seem disparate, and the heterogeneity is quite apparent. Nevertheless, although the authors talk about marine biology, physical anthropology, social medicine, population genetics, et cetera, many of the procedures can be traced back to the same fundamental and very common techniques, for example diagnosis and classification, clinical trials, Monte Carlo methods. The book opens with a critical discussion of the relationships between statisticians and researchers written by Professor D.V. Lindley. This volume can serve as a guide for young biologists and physicians who wish to become familiar with the most modern tools of statistical inference, for example - non-parametric discriminant analysis, hierarchical models and related computational techniques.
