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More About This Title Statistical Methods in Medical Research 4e
English
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 the2002 BMA Books Competition.
English
Peter Armitage has a Cambridge M.A. in mathematics and a London Ph.D, in Statistics. He was a Statistician for the Medical Research Council from 1947-61, and Professor of Medical Statistics at the London School of Hygiene and Tropical Medicine from 1961-76. He then moved to Oxford, first as Professor of Biomathematics, later as Professor of Applied Statistics and head of the new Department of Statistics, retiring in 1990. His research has centred around the development of methods for medical statistics, especially clinical trials. He is a Past President of the International Biometric Society, International Society for Clinical Biostatistics, and Royal Statistical Society, and edited Biometrics 1980-84. He was appointed C.B.E. in 1984.
Geoffrey Berry is an Emeritus Professor of Epidemiology and Biostatistics at the School of Public Health, University of Sydney School of Medicine.
English
1 The Scope of Statistics.
2 Describing Data.
3 Probability.
4 Analysing Means and Proportions.
5 Analysing Variances, Counts and Other Measures.
6 Bayesian Methods.
7 Regression and Correlation.
8 Comparison of Several Groups.
9 Experimental Design.
10 Analysing Non-Normal Data.
11 Modelling Continous Data.
12 Further Regresson Models for a Continuous Response.
13 Multivariate Methods.
14 Modelling Categorical Data.
15 Empirical Methods for Categrorical Data.
16 Further Bayesian Methods.
17 Survival Analysis.
18 Clinical Trials.
19 Statistical Methods in Epidemiology.
20 Laboratory Assays.
Appendix tables.
References.
Author Index.
Subject Index.
English
'...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
