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Common Statistical Methods for Clinical Research with SAS Examples, Second Edition 2nd Edition

4.4 out of 5 stars 7 customer reviews
ISBN-13: 978-1590470404
ISBN-10: 1590470400
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Editorial Reviews

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

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.
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Product Details

  • Paperback: 488 pages
  • Publisher: SAS Publishing; 2nd edition (July 15, 2002)
  • Language: English
  • ISBN-10: 1590470400
  • ISBN-13: 978-1590470404
  • Product Dimensions: 8.3 x 1 x 11 inches
  • Shipping Weight: 2.4 pounds
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #2,150,346 in Books (See Top 100 in Books)

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By Michael R. Chernick on March 1, 2008
Format: Paperback
This book covers all the SAS procedures applicable in clinical trials. It provides excellent examples to illustrate the methodology and the precise way to produce the results in SAS. It also gives the reader a very clear and detailed presentation of the output. It is so good that when we were validating Version 9 of SAS we took some examples from Walker's book that we tried to replicate. We had to keep in mind some minor differences between Version 9 and Verson 6 which is th basis for Walker's examples.
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Format: Paperback
This book is very instructive for those interested in the pharmaceutical field or might already be in, especially for those not having a statistics degree. The different tests are explained and tell you for what situations they can be applied to. Good examples with SAS code and sample data are provided. For most problems, manual calculations are shown before doing them in SAS. This book was not that easy to digest though. Multiple reading will make the material more clear.
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Format: Paperback
This book have a lot of examples with sas codes, outputs, and explanations of outputs, which is useful for practitioners. Recommended for practitioners, but not for serious statisticians who seek in-depth and accurate, a little more mathematical treatment of the topics instead of just explanations of sas codes/outputs.
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Format: Paperback
I have been teaching biostatistics and data management for many years and on the first day of the year I always tell incoming MDs, masters and PhD level students who are not mathematicians to go out immediately and get this book. When they graduate, they frequently spontaneously tell me that it was excellent advice and they tell me the book "saved" them either in class or on their projects. I have never heard a complaint about this book and that is REALLY unusual with a statistics book.

Walker writes short chapters centered around common statistical methods. He gives a clean paragraph or two saying why you would use a statistic. Then he writes-up a little math, with the algebra usually worked out. After that the vast majority of the chapters are completed examples with datasets, code and output. The code and output are annotated with notes and numbered labels so you can quickly figure out what each part output and code means (in clear English).

If you get stuck in an overly theoretical statistics class get this book and you will be able to actually do the work you need for biostatistics projects that use SAS.
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