Statistical Methods in Medical Research, Fourth Edition
About this book
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.
Reviews
'...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