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Fundamentals of Biostatistics by B. Rosner

Fundamentals of Biostatistics (with CD-ROM) 



  • Bernard Rosner


  • Hardcover: 896 pages
  • Publisher: Duxbury Press; 6 edition (February 24, 2005)
  • Language: English
  • ISBN: 0534418201
  • Product Dimensions: 9.5 x 8 x 1.5 inches
  • Shipping Weight: 3.70 pounds


Book Description 

Bernard Rosner’s FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.

Book Info

(Duxbury) Harvard Univ., Boston, MA. Introductory level textbook designed for upper-level undergraduate or graduate students interested in medicine or other health-related areas. Includes new and expanded coverage, computer exercises based on real data sets, and additional case studies. Diskette requires Windows 95 and later. Licensing is not cited. –This text refers to an out of print or unavailable edition of this title.

About the Author(s)

Bernard Rosner is Professor in the Department of Medicine, Harvard Medical School, and the Department of Biostatistics at the Harvard School of Public Health. Dr. Rosner’s research activities currently include longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error, and modeling of cancer incidence data.



well written introductory text, August 8, 2000

Bernard Rosner is a Harvard Professor of Biostatistics. He has written an introductory text for undergraduate and graduate medical school students. It covers the basics of probability and inference including categorical data. Other topics include regression, correlation and survival analysis. It is written for students with no math beyond high school algebra but common mathematical notation is freely used. It includes a diskette with data for examples. Many examples are given to illustrate the concepts and SAS ouput is used to illustrate the results and familiarize the students so that they can interpret statistical output. Many exercises are given at the end of each chapter. Several require use of the data sets on the diskette. I think the author has been careful to try to make the subject understandable to medical students. He also has used the lectures notes that were the basis of the text in courses he taught in the Harvard Medical School. So he knows his audience. A unique feature is the catergorizing of exercises by medical specialty.

Rosner tries to fill an important need and does a good job. He avoids heavy mathematics without turning the text into a cookbook. This is now the fourth edition. So many improvements have been made. I gave it 4 stars. It probably deserves 4 and 1/2 stars.