Peter Lutz, PhD, brilliantly traverses the major milestones along the evolutionary path of biomedicine from earliest recorded times to the dawn of the 20th century. With an engaging narrative that will have you turning "just one more page" well into the night, this book revealingly demonstrates just how the modern scientific method has been shaped by the past. Along the way the reader is treated to some delightfully obscure anecdotes and a treasure trove of rich illustrations that chronicle the tortuous history of biomedical developments, ranging from the bizarre and amusing to the downright macabre. The reader will also be introduced to the major ideas shaping contemporary physiology and the social context of its development, and also gain an understanding of how advances in biological science have occasionally been improperly used to satisfy momentary social or political needs.

An essential textbook for any student or researcher in biology needing to design experiments, sample 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 website that provides all data sets, questions for each chapter and links to software.