| ||||||||||||||||||
 Trade In this Item for up to £38.10
Get an extra £5 when you trade in books worth £10 or more until June 30, 2012. Trade in Statistical Methods in Medical Research (Armitage, Statistical Methods in Medical Research) for an Amazon.co.uk gift card of up to £38.10, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Frequently Bought Together
Product details
|
More About the Author
Product Description
Review
′...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
Product Description
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.
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
Concordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
Sell a Digital Version of This Book in the Kindle Store
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
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.
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.
Listmania!
Look for similar items by category
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
