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Practical Statistics for Medical Research (Chapman & Hall/CRC Texts in Statistical Science) Hardcover – 22 Nov 1990

4.2 out of 5 stars 11 customer reviews

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Product details

  • Hardcover: 624 pages
  • Publisher: Chapman and Hall/CRC (22 Nov. 1990)
  • Language: English
  • ISBN-10: 0412276305
  • ISBN-13: 978-0412276309
  • Product Dimensions: 16.5 x 3.8 x 24 cm
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Bestsellers Rank: 95,426 in Books (See Top 100 in Books)
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Review

..".valuable to medical students and statisticians entering the field..." -Medical Publications _ "Admirably clear presentations of concepts...our department is so impressed by its conceptual clarity that we plan to introduce it into our courses for physician scientists and graduate students of the health sciences." -Short Book Reviews of the International Statistical Institute "A winner...The text is comfortably fluent; it describes and explains without jargon or obscurities. The mathematic segments are clearly presented and should be accessible to any college graduate...[Altman] has provided health care professionals with a remarkably instructive, accessible, and useful guidebook...this is the most impressive monograph on medical statistics that I have read." -American Journal of Diseases of Children "offers useful information to statisticians on the realistic limitations to be found in clinical research. There is much helpful background explanation, but where the book scores is that it uses real examples of real data, both in explaining how not to do it and in the carefully worked examples of the various techniquesIn short, it is the best book on statistics from medical research I have come across, in terms of both completeness and intelligibility." -J.S.Lilleyman, Journal of Clinical Pathology .."this book is far from being a theoretical textbook; it is very readable, full of relevant practical advice with its feet firmly on the ground, and based on the author's considerable experience of medical researchI found much to applaud and very little to criticise." -S. Thompson, British Medical Journal, 1991 "This is a rich resource for private study and for a teacher preparing materialfor undergraduates and postgraduates." -D. Ashby, Statistics in Medicine, 1991 "is refreshingly different from every other statistics book I have seenis scientifically rigorous when discussing practical problems encountered in planning and analyzing biologic and clinical researchI recommend it enthusiastically to clinical investigators." -H.J.Motulsky, New England Journal of Medicine, 1991 "This book fulfils its original intention of being a solid reference book for the medical researcher. I enjoyed reading it, and can thoroughly recommend it." -P.Stell, International Journal of Epidemiology "This book is, of course, now almost 10 years old. In general its age does not showis intended to appeal to and to interest medical researchers with little knowledge of statistics. A review by a statistician cannot assess how well this is achieved, but it is indicative of success that this is the ninth reprint." --Nigel Stallard, University of Reading, Book Reviews


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Customer Reviews

4.2 out of 5 stars
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Top Customer Reviews

Format: Hardcover
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).
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Format: Hardcover
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.
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Format: Hardcover
Altman addressess the questions and difficulties met in every-day practice of medical statistics in a clear, very practical style. Useful by those (eg clinicians) new to statistical analyses, and also to statisticians venturing into an area in which they've not been much before. As a single 'best' book for everyday analyses, this is it!
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By A Customer on 20 April 1999
Format: Hardcover
An excellent textbook for non-statisticians undertaking medical research. Only criticims is it is a little thin on multivariate analysis and meta-analysis.
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By A Customer on 15 Dec. 1999
Format: Hardcover
it is without doubt the best beginners guide to statistics in medical research. introduction and explanations are easy to read and follow. as someone new to research this book is never far from me.
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Format: Hardcover Verified Purchase
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.
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