Practical Statistics for Medical Research: 12 (Chapman & Hall/CRC Texts in Statistical Science)
£98.00£104.50 (-6%)
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
- Explores topics of particular importance in clinical practice, including diagnostic tests, method comparison, and observer agreement
- Utilizes real data throughout and includes dozens of interesting data sets
- Discusses the use and misuse of statistics, enabling readers to judge the appropriateness of methods and interpretations published in medical journals
- Describes the main statistical methods for comparing data collected from different groups of individuals or for relating different observations from the same people
- Provides many problems, all with detailed solutions
The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
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Additional information
| Publisher | 1st edition (22 Nov. 1990), Chapman and Hall/CRC |
|---|---|
| Language | English |
| Hardcover | 624 pages |
| ISBN-10 | 9780412276309 |
| ISBN-13 | 978-0412276309 |
| Dimensions | 16.51 x 3.18 x 24.77 cm |
by Ali
Excellent condition. Excellent book
by wAlter Ego
This book is often recommended to biologists and clinicians undertaking clinical research. Although it does contain pretty much everything you need to know in order to design and analyse a study, it is not the sort of book that is easy to read cover to cover. The language is heavy going and old fashioned.
For complete beginners, I would have to recommend Primer Of Biostatistics by Stanton A Glantz. By using rather zany examples from the planet Mars, the reader does not get bogged down in all the medical terminology, unlike the examples in Altman. And it is a book you can sit down anywhere (on the bus or tube) and continue where you left off.
To summarise: If you are a medical student who needs to pass a test in medical statistics, go for Glantz. If you are starting some research and have no knowledge of medical statistics, go for Glantz. If your budget allows, get Altman for reference (otherwise borrow it from your library, or someone who gave up trying to read it).
by Rus
The gold standard of Statistisc (for Medicine) texts
by W. M. S. Foster
I’m pretty new to statistics and bought this book to help write up a 2 year research project.
It is actually easier to read than some of the other reviewers suggested. It is a little old-fashioned in its language (but what’s wrong with that? I didn’t want a book written by a teenager!!). The examples for the tests are enormously helpful and generally make the point succinctly.
It is reasonably detailed and comprehensive, but I do think one needs this kind of detail for understanding stats. I don’t think there is much I would cut out of this book.
Overall I found it a good reference but it’s actually pretty easy to read sequentially to try to understand the subject before undertaking analysis of ones own.
I also bought Primer of Biostatistics (Glantz) as recommended by one of the other reviewers but personally I haven’t found that book so useful as Altman.
by Amazon Customer
Even used the book is in great condition!
by Thomas Cullen
very satisfied with the purchase and in excellent condition.
by ALICE
Book arrived damaged
by Jonathan Jewell
I’m not so sure about this book – it looks dated and there’s plenty of good competitors out there. Doesn’t do the basics, just some applications – I’d look elsewhere.