Vous voulez voir cette page en français ? Cliquez ici.


or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
More Buying Choices
Have one to sell? Sell yours here
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Statistical Methods in Medical Research [Illustrated] [Hardcover]

Peter Armitage , Geoffrey Berry , J. N. S. Matthews
3.0 out of 5 stars  See all reviews (2 customer reviews)
List Price: CDN$ 186.99
Price: CDN$ 149.59 & this item ships for FREE with Super Saver Shipping. Details
You Save: CDN$ 37.40 (20%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Only 1 left in stock (more on the way).
Ships from and sold by Amazon.ca. Gift-wrap available.
Want it delivered Thursday, May 23? Choose One-Day Shipping at checkout.

Formats

Amazon Price New from Used from
Hardcover, Illustrated CDN $149.59  

Book Description

Nov 28 2001 0632052570 978-0632052578 4
The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research.

Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research.

The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs.

Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.


Customers Who Bought This Item Also Bought


Product Details


Product Description

Review

On the fourth edition:

'...this breakthrough revision of a classic...is truly excellent: comprehensive, informative, able to be read at a variety of levels by a variety of readers, modern and insightful.'
Statistics in Medicine, Volume 22, 2003

'...this is a volume which could usefully, and perhaps should, be read from cover to cover by anyone embarking on the study of medical statistics. For those already working in the area, it should at least be on their bookshelves.'
Short Book Reviews, Volume 22, Number 2, August 2002

'...each edition has improved and expanded considerably on the last, keeping pace with the ever-changing field of medical statistics...'
eMJA Bookroom, 2002

On previous editions:

'...this is an excellent book...I strongly recommend this book...'
International Society for Clinical Biostatistics, December 1997

'...this classical beauty has aged well.'
International Statistical Institute, April 1996

'...readers who...use statistical analysis...must buy this third edition'
Australian-New Zealand Journal of Surgery, Spring 1995

'...the standard text for professional medical statisticians.'
Aslib Book Guide, November 1994

From the Back Cover

This popular book is recognised as a standard text for medical researchers and statisticians advising in medicine. Its first edition was reprinted six times. This new edition continues to cover basic principles, techniques of varying complexity, and applied statistical methods, and now contains a new chapter on statistical computation. --This text refers to an out of print or unavailable edition of this title.

Inside This Book (Learn More)
First Sentence
In one sense medical statistics are merely numerical statements about medical matters: how many people die from a certain cause each year, how many hospital beds are available in a certain area, how much money is spent on a certain medical service. Read the first page
Explore More
Concordance
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Search inside this book:

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Reviews

4 star
0
3 star
0
2 star
0
3.0 out of 5 stars
3.0 out of 5 stars
Most helpful customer reviews
1.0 out of 5 stars Statistical Methods in Medical Research Jan 3 2002
By A Customer
Format:Hardcover
My book has not arrived. Please let me know where it is. Your company does not have any contact numbers.
Was this review helpful to you?
5.0 out of 5 stars Begin to learn Statistics through this book Nov 22 2000
Format:Hardcover
For a beginner, it is really an excellent book. It almost has included all of the most important statistical methods practiced in medical research without pricing at detail loss. Its way of lucid writing and rich examples can help a beginner read through the whole book with some joy. For a senior one on this field, I still think that he/she can take it as a handbook and believe he can find some clue before he pays more attention to another throughly reading.
The new edition adds a lot of new contents especially the Bayes' theroy which is becoming a fashion in nowadays.
Was this review helpful to you?
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.3 out of 5 stars  6 reviews
7 of 7 people found the following review helpful
5.0 out of 5 stars The bible of biostatistics. Aug 19 2004
By pg - Published on Amazon.com
Format:Hardcover|Amazon Verified Purchase
This is definitely one of the most comprehensive of all biostatistics textbooks out there and it is also the best. Authoritative in style, it starts from the very basics and surveys in *detail* almost every method in biostatistics.

You will be impressed: Apart from *all* the basic techniques usually found in most biostatistics texbooks, it has two extensive chapters on Bayesian methods (with Gibbs sampling, MCMC, etc., you name it), extensive treatments of clinical trials, extensive treatments of longitudinal data and GEE models, extensive details on the bootstrap and jackknife, an extensive chapter on methods in epidemiology (risk ratios, Mantel-Haenszel method), extensive treatments of categorical data (contingency tables, logistic regression), and an extensive chapter on survival analysis. This is indeed a very extensive book.

"Statistical Methods in Medical Research" is also a book on methodology, so theorems and proofs are not to be expected. Also there are no exercises, but there are excellent illustrative examples of the various methods. While it is very descriptive, it contains enough mathematics to keep the presentation of concepts *complete*. It is also very up-to-date and has an excellent reference list.

In a nutshell, this is a work of great ambition and vision: it will cater for beginners and masters alike.
4 of 4 people found the following review helpful
4.0 out of 5 stars Good Primer of Medical Statistical Theory Mar 31 2004
By E. BARQUIST - Published on Amazon.com
Format:Hardcover
This edition if the classic text is extensively revised from previous editions. It offers a good background of theoretical considerations in biomedical statistics. It is particularly useful for the non-statistician physician who is involved in clinical trials.
1 of 1 people found the following review helpful
5.0 out of 5 stars Invaluable resource on all levels Dec 27 2008
By Robert Hill - Published on Amazon.com
Format:Hardcover
As a principal level Statistician in industry, I have long used Armitage's earlier edition of this text to lend as a resource for non-statistical colleagues, because of its lucid and easily understandable explanations of statistical concepts. However, it has also proved a valuable resource to me personally, because it provided all of the formulas and calculations that I needed to manually recreate analyses; as an example, to calculate overall summary statistics from the summaries of component subgroups. I purchased this new edition for the additional content, such as Bayesian analysis, and have discovered that it still retains all of the advantages of the earlier work.

In short, I find this book to provide the most understandable introduction to statistical concepts, as well as the most useable content, of any such text that I have read. It is invaluable to both the consulting statistician and the practitioner who occasionally has to go 'outside the box' in applying statistical methods.
Search Customer Reviews
Only search this product's reviews

Listmania!

Create a Listmania! list

Look for similar items by category


Feedback


Amazon.ca Privacy Statement Amazon.ca Shipping Information Amazon.ca Returns & Exchanges