Now in its Third Edition, An Introduction to Medical Statistics contin ues to be and invaluable textbook for medical students, doctors, medic al researchers, nurses, members of professionals allied to medicine as well as those concerned with medical data. The material covered inclu des all the statistical work that would be required for a course in me dicine and for the examinations of most of the Royal Colleges. It incl udes the design of clinical trials and epidemiological studies, data c ollection, summarizing and presenting data, probability, standard erro r, confidence intervals and significance tests, techniques of data ana lusis including multifactorial methods and the choice of statistical m ethod, problems of medical measurement and diagnosis, vital statistics, and calculation of sample size.
"synopsis" may belong to another edition of this title.
Martin Bland is Professor of Medical Statistics in the Department of Public Health Sciences, St George's Hospital Medical School, London, UK
Review from previous edition: "The coverage may not be very different from that of other introductory texts, but in my view the style and content are, and they alone make this text one of the best of its kind. The approach is very data driven, and the use of real data makes this even more
appealing...this is an excellent book -- in my view it should be the first choice for any student wanting a serious introduction to the practice of medical statistics."
--The Statistician
"If you want to understand some of the statistical ideas important to medicine but fear being overwhelmed by mathematics you will welcome An Introduction to Medical Statistics."
--British Medical Journal
"At last I have a book on medical statistics that I can safely recommend to my students!...One of the pleasures of the book is that it contains real data."
--Journal of the Royal Statistical Society
"It is a book which I think anyone teaching an introductory course in medical statistics should seriously consider as the main text."
--Statistics in Medicine
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