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D. E. Matthews, V. T. Farewell. Using and Understanding Medical Statistics., 5th, revised and extended edition. Publisher: S. Karger, 2015

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The fifth revised edition of this highly successful book presents the most extensive enhancement since Using and Understanding Medical Statistics was first published 30 years ago. Without question, the single greatest change has been the inclusion of source code, together with selected output, for the award-winning, open-source statistical package known as R. This innovation has enabled the authors to de-emphasize formulae and calculations, and let software do all of the 'heavy lifting'. This edition also introduces readers to several graphical statistical tools such as Q-Q plots to check normality, residual plots for multiple regression models, the funnel plots to detect publication bias in a meta-analysis and Bland-Altman plots for assessing agreement in clinical measurements. New examples that better serve the expository goals have been added to a half-dozen chapters. In addition, there are new sections describing exact confidence bands for the Kaplan-Meier estimator, as well as negative binomial and zero-inflated Poisson regression models for over-dispersed count data.
The end result is not only an excellent introduction to medical statistics, but also an invaluable reference for every discerning reader of the medical research literature.

Using and understanding medical statistics., 5-e, revised and expanded edition. Author: Matthews DE.

The fifth revised edition of this highly successful book represents the most significant revision of "Using and understanding medical statistics", since the first edition was published over 30 years ago. The authors have added new chapters on Poisson regression, analysis of variance, meta-analysis of diagnostic tests relevant to the subject of the agreement of measurements and reliability. In addition, there are sections describing new topics.The end result is an excellent introduction to medical statistics, as well as valuable links to many of the more complex statistical methods and techniques currently appear in medical journals.