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An Introduction to Medical Statistics Paperback – Oct 8 2000

5.0 out of 5 stars 1 customer review

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Product Details

  • Paperback: 424 pages
  • Publisher: Oxford University Press; 3 edition (Oct. 8 2000)
  • Language: English
  • ISBN-10: 0192632698
  • ISBN-13: 978-0192632692
  • Product Dimensions: 22.6 x 2.5 x 15 cm
  • Shipping Weight: 454 g
  • Average Customer Review: 5.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #359,570 in Books (See Top 100 in Books)
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Product Description

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The material covered includes all the statistical work that would be required in a course in medicine. CAB Abstracts

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Top Customer Reviews

Format: Paperback
Clearly and logically set out starting with the reasons for medical statistics and how studies are designed and moving logically to the methods used. All practicing doctors need to know something about medical statistics. This is a very good place to start. It is written for non-mathematicians but has enough mathematics to justify the information presented and stimulate further interest. It is a relatively short book with clear logical explanations rather than flashy illustrations and computer graphics. Also provides exercises, essential in all mathematical subjects.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x985d733c) out of 5 stars 13 reviews
30 of 31 people found the following review helpful
HASH(0x98542eb8) out of 5 stars well-written text Feb. 9 2008
By Michael R. Chernick - Published on Amazon.com
Format: Paperback
This is the second edition of an excellent introductory text for medical students similar to Doug Altman's. Bland covers the basics: designing clinical trials and epidemiological studies, data collection, summarizing data, basic probability, standard errors and confidence intervals along with tests of significance (both parametric and nonparametric). Various types of regression methods are covered and this edition adds Cox proportional hazards models and meta-analysis. Many exercises and examples are taken from Bland's 20 years of experience as a medical statistician. It is noteworthy for dealing with sample size issues in Chapter 18. Mortality statistics and life tables are covered in Chapter 16.
The book is not quite as advanced as Altman's.
18 of 18 people found the following review helpful
HASH(0x98542f0c) out of 5 stars Start Here for Medical Statistics May 21 2002
By Dergie - Published on Amazon.com
Format: Paperback
Clearly and logically set out starting with the reasons for medical statistics and how studies are designed and moving logically to the methods used. All practicing doctors need to know something about medical statistics. This is a very good place to start. It is written for non-mathematicians but has enough mathematics to justify the information presented and stimulate further interest. It is a relatively short book with clear logical explanations rather than flashy illustrations and computer graphics. Also provides exercises, essential in all mathematical subjects.
3 of 3 people found the following review helpful
HASH(0x983c9360) out of 5 stars Provides great explanations of stats in the medical literature Feb. 9 2011
By RxRachel - Published on Amazon.com
Format: Paperback Verified Purchase
I am a fourth year pharmacy student and I bought this book hoping that it would help me wrap my head around the statistics and trial designs I was reading about every few weeks for journal club. I needed something that would help me interpret the literature, then apply it to practice. This is very much a statistics book and not quite the perfect "journal club how-to" I was looking for, but I'm still quite glad I have it. There are two chapters that give a nice overview of the types of study designs (cross-over, case-control, etc) and other basic trial concepts like allocation and randomization, sampling, informed consent, and bias. I always got tripped up by some of the most fundamental statistical concepts like power and confidence intervals, and I was never quite sure what I should be taking away from them. Bland gives easy to understand explanations of those types of basics, starting with how they're calculated, what they really mean, and how you should interpret them when you come across them in the literature. He also has one of the best explanations of p values that I've ever read.

I still want to find a guide that goes more into applying trial results to practice, but this is a great place to start if you need help interpreting all of those scary statistics in the medical literature.
3 of 3 people found the following review helpful
By J. Ragg - Published on Amazon.com
Format: Paperback
Seems a good basic sufficent stand-alone stats book for medical professional (ie non specialised statistician), although admittedly I haven't used many others to compare, covering a comprehensive cross section of the commonly used medical science stats techniques, with excellent basic maths / stats principles that are relatively easy to understand for those with a basic mathematics background (higher secondary school). Possibly too light on for some more complex stat techniques (eg multi-variate analysis - eg no mention of cluster or hierarchial or other specifically indicated analysis etc.) - ie newer edition mayn't have moved sufficiently with the times. Nonetheless a good solid stats background, very readable, and responsible in imploring appropiate use of stats. Very usable reference and / or learning book.
3 of 3 people found the following review helpful
HASH(0x983c9804) out of 5 stars More than meets the eye Aug. 12 2009
By CPR - Published on Amazon.com
Format: Paperback
While titled an Introduction, this book contains a wealth of detail, strategy, practical examples and generous sharing of the author's experience, including traps for the unwary.
I like the author's direct, self-effacing style and how every topic receives broad coverage.
It is not a HOW TO book, but an education, if you are prepared to absorb all it has to offer.


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