Common Statistical Methods for Clinical Research with SAS Examples, Second Edition

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9781590470404: Common Statistical Methods for Clinical Research with SAS Examples, Second Edition

Common Statistical Methods for Clinical Research with SAS Examples, Second Edition, written by Glenn Walker, provides clinical researchers with an invaluable aid for understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. The text is written in a way that takes the non-statistician through each test using examples, yet substantive details are presented that benefit even the most experienced data analyst. Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions about power, calculating sample size, p-values, and the logic behind hypothesis testing. The statistical methods discussed here represent a composite of methods most commonly used in the analysis of clinical research data. Numerous examples taken from clinical research show how to calculate statistical data both manually and using SAS. This revised edition includes sections about crossover designs and multiple comparison methods, a discussion of interim analyses, 50% more examples, and reader exercises. Extensions of methods previously presented only in their most elementary form are shown in new examples.

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About the Author:

Glenn A. Walker has been providing statistical consulting services to the biopharmaceutical industry since 1977. He received his Ph.D. in statistics from the University of Florida where, as a graduate student, he taught courses in statistics and how to use SAS software. He has worked as a consultant to numerous pharmaceutical and biotechnology companies in study design, data analysis, and statistical programming in the field of clinical trials. In this book, Glenn draws on his extensive experience with the statistical handling of data from various types of medical conditions and treatments to illustrate commonly used statistical methods.

Review:

This book is an extension and improvement to the excellent first edition appearing in 1996. Each chapter has an introduction covering the specific method and gives examples of where the method is used. The introduction is followed by a synopsis presenting the necessary and significant information for the reader to get a good understanding of the statistical method. Excellent examples are given, including illustrations and followed by the SAS code for the example. Detailed annotations make the SAS output easy to understand. The book also gives numerous extensions for the methods. Dr. Walker has certainly used his many years of consulting experience, his teaching experience with the University of Florida, and his understanding of SAS to produce an even better book, equally understandable and helpful to the novice as well as the seasoned statistician. Each will benefit from this insightful journey into statistics and the use of SAS, whether as a teaching tool or a refresher. I can recommend this book wholeheartedly. --Stephan Ogenstad, Ph.D., Senior Director, Biometrics Vertex Pharmaceuticals, Inc.

Are you tasked to use statistical methodology without sufficient statistical training? As part of your work do you interface with statisticians who use jargon that only slightly resembles English? Do you need to perform statistical analyses and present the results of statistical tests using SAS without a clear understanding of the procedures or their output? This book is for you. Although filled with examples relating to the clinical industry, this book provides a much broader reach and is appropriate for any setting that applies statistical methodology. With the second edition of Common Statistical Methods for Clinical Research with SAS Examples Glenn Walker has added almost 100 pages of new information. More importantly he has enhanced its readability for analysts and non-statisticians. The book's organization flows well not only from chapter to chapter but also within each chapter. --Art Carpenter, California Occidental Consultants

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