Clinical Biostatistics: An Introduction to Evidence-Based Medicine [Paperback]

Graham Dunn (Author), Brian S. Everitt (Author)

Book Description

Publication Date: June 1995 | ISBN-10: 0470249900 | ISBN-13: 978-0470249901 | Edition: 1

Written in response to the need for a biostatistics book which is also motivated by clinical problems. It concentrates on influencing the readers' attitudes towards the use of evidence and the appropriate and valid use of statistical inference in clinical medicine.

Editorial Reviews

From the Publisher

Provides reasons why a basic knowledge of statistics is vital to all those intending to become doctors. Each chapter deals with a different clinical problem and describes the relevant statistical methods. The material is illustrated with contemporary examples including the effects of passive smoking, alcohol consumption by pregnant women, risk factor for stroke in middle-aged men, Alzheimer's disease and more.

About the Author

Graham Dunn, Dept. of Biostatistics and Computing, Institute of Psychiatry, London. Brian Everitt, Dept. of Biostatistics and Computing, Institute of Psychiatry, London. --This text refers to an out of print or unavailable edition of this title.

Product Details

• Paperback: 152 pages
• Publisher: John Wiley & Sons; 1 edition (June 1995)
• Language: English
• ISBN-10: 0470249900
• ISBN-13: 978-0470249901
• Product Dimensions: 9.2 x 6.1 x 0.4 inches
• Shipping Weight: 9 ounces
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #7,392,999 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

38 of 38 people found the following review helpful:

4.0 out of 5 stars nice introductory book, May 5, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Clinical Biostatistics: An Introduction to Evidence-based Medicine (Paperback)

In the medical device and pharmaceutical industries as well as in academic medical research results of well-controlled clinical trials and other valid statistical and epidemiologic studies fall under the category of evidence-based medicine. I think this is to contrast it with medical practice that is based on anecdotal and other practical experience which has not been subjected to scientific hypothesis testing.

Dunn and Everitt are excellent writers who have written a number of fine books on statistical methods particularly very applied books with applications using common statistical software. This book does a good job of covering the basic issues in medical trials and the key statistical methods. It does not appear to cover any of the observational studies and other epidemiological work that could be part of such a book. But what it does cover it covers very well.