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

by Glenn A. Walker (Author) "In some ways, we are all born statisticians..." (more)
Key Phrases: Corrected Total, Sum of Source, Mean Std Dev (more...)

Editorial Reviews

Review
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

The novice as well as seasoned statisticians will benefit from this insightful journey into statistics and the use of SAS®. -- Stephan Ogenstad, Ph.D., Senior Director, Biometrics Vertex Pharmaceuticals, Inc.

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.

This book is filled with examples relating to the clinical industry. It is appropriate for any setting applying statistical methodology. -- Art Carpenter, California Occidental Consultants

Product Description
Clinical researchers, with or without a statistical background, will find this book an invaluable aid in understanding the statistical methods cited most frequently in clinical protocols, statistical analysis plans, clinical and statistical reports, and medical journals. Written in a manner which leads the nonstatistician through each test by example, substantive details are presented which will benefit even the experienced data analysts. Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions of power, sample size calculations, p-values and the logic behind hypothesis testing. Numerous examples from clinical research are worked through both manually and using SAS. Methods presented include t-tests, analysis of variance, repeated measures ANOVA, linear regression, analysis of covariance, non-parametric tests, binomial tests, chi-square test, Fisher's exact test, McNemar's test, Cochran-Mantel-Haenszel test, logistic regression, log-rank test, and Cox proportional hazards model.

Supports releases 6.08 and higher of SAS software.

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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: 11 x 8.2 x 1.2 inches
• Shipping Weight: 2.4 pounds (View shipping rates and policies)
• Average Customer Review: 4.6 out of 5 stars See all reviews (5 customer reviews)
• Amazon.com Sales Rank: #182,293 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

27 of 27 people found the following review helpful:

5.0 out of 5 stars great introduction to biostatistics in context of SAS implementation, March 1, 2008

By	Michael R. Chernick "statman31147" (Holland PA) - See all my reviews (REAL NAME)

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.

7 of 7 people found the following review helpful:

5.0 out of 5 stars One of a kind, March 15, 2003

By	Anthony Defex "Tony the Tiger" (San Francisco, CA United States) - See all my reviews (REAL NAME)

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.

6 of 6 people found the following review helpful:

3.0 out of 5 stars decent book, January 7, 2004

By	jet dragon (NJ) - See all my reviews

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.