STATISTICS 7 Biostatistics Applied Mixed Models in Medicine 3rd Edition (Previously Announced ) Helen Brown & Robin Prescott ✤✤ This third edition of Brown and Prescott's groundbreaking text provides an update on the latest advances in mixed modelling with particular emphasis on the software and applications, and includes guidance on the use of current SAS techniques across a wide range of applications ✤✤ Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on incomplete block designs and the analysis of bilateral data ✤✤ Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists ✤✤ Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output ✤✤ Features the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC ✤✤ Supported by a website featuring computer code, data sets, and further material ✤✤ For applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas Print ISBN: 978-1-118-77825-8 (Cloth) US$100.00 • MAR 2015 • 536PP Online ISBN: 978-1-118-77821-0 Data Analysis Beyond Basic Statistics Tips, Tricks, and Techniques Every Data Analyst Should Know Kristin H. Jarman ✤✤ This book focuses on the more subjective side of statistics - the art of data analysis ✤✤ Using a handful of fun examples, each chapter asks a single question, illustrating the different techniques taught in any introductory statistics course, to tackle it. The role of statistics as a problem solving tool is emphasized ✤✤ A valuable book for undergraduate students in statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results ✤✤ The book is organized in two parts: Part One addresses small sample sizes, non-normal distributions, and other subversive datasets; and Part Two discusses multiple variables including multi-way contingency tables, two-way ANOVA and multiple comparisons, and multiple regression Print ISBN: 978-1-118-85611-6 (Paper) US$59.95 • JUL 2015 • 192PP Online ISBN: 978-1-118-85617-8 Modeling and Analysis of Compositional Data Vera Pawlows ky-Glahn, Juan Egozc ue & Raimon Tolosana-Delgado ✤✤ Presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method ✤✤ Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, and a solutions manual which is available on an accompanying website ✤✤ Complementing Pawlowsky-Glahn's earlier collective text that provides an overview of the state-of-the-art in this field, A Practical Guide to Compositional Data Analysis fills a gap in the literature for a much-needed manual for teaching, self-learning or consulting Print ISBN: 978-1-118-44306-4 (Cloth) US$90.00 • MAR 2015 • 256PP Online ISBN: 978-1-119-00314-4 ISBN 111877825-1 9 781118 778258 ISBN 111885611-2 9 781118 856116 ISBN 111844306-3 9 781118 443064
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