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Hardcover Using and Understanding Medical Statistics Book

ISBN: 3805547196

ISBN13: 9783805547192

Using and Understanding Medical Statistics

Since the last edition of this book was published, major developments in computer technology have affected both the practice of medicine and the methods of analyzing medical data. These advances make the focus of this revised edition - understanding many of the statistical methods that are used in modern medical studies-all the more important. Two new chapters have been added by the authors. One provides readers with an introduction to the analysis of longitudinal data. The other augments previous material concerning the design of clinical trials, exploring topics such as the use of surrogate markers, multiple outcomes, equivalence trials, and the planning of efficacy-toxicity studies. In addition to providing new information and fine-tuning the rest of the book, the authors have reorganized the final six chapters so that the topics build, naturally, on each other. This latest edition is highly recommended both as an excellent introduction to medical statistics and as a valuable tool in explaining the more complex statistical methods and techniques used today.

Recommended

Format: Hardcover

Condition: Good*

*Best Available: (ex-library)

$5.19
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Customer Reviews

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The language and principles of biostatistics made accessible

For what this book intends, it truly is outstanding. In general, the medical researcher of any kind is at a severe disadvantage in dealing with professional biostatisticians because often the two do not speak a common language. This very readable, interesting and clearly written book gives the scientist enough knowledge to deal with most relatively simple cases in a language that we understand. With the basic principles of medical statistics made comprehensible, we are able to understand many of the simpler software packages well enough to perform basic statistical analyses and, more importantly, are able to converse intelligently with biostatistical professionals and to design studies that will pass muster. Unlike another reviewer, I do not feel that not covering SAS or other software programs is a disadvantage. No book can cover everything, and this book covers the basics and intermediate levels far better than any book I have seen, certainly better than any biostatistics book written by biostatisticians intended for other biostatisticians. This book understands that biostatistics is a tool, not a fundamental discipline, for the vast majority of scientists and is written to them. The book serves as a ready reference and review if one does not perform these analyses on a daily basis. This book should be on the shelf of every life scientist.
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