Synopses & Reviews
Don't be afraid of biostatistics anymore! The new fifth edition of PRIMER OF BIOSTATISTICS introduces this challenging topic in a readable and enjoyable format that assumes no prior knowledge of the subject. In no time, you'll understand test selection and be able to evaluate biomedical statistics critically and knowledgeably.
You'll start with the basics, including analysis of variance and the t test, then advance to a multiple comparison testing, contingency tables, regression, and more. Examples from the current literature illustrate key concepts throughout.
New:
* More on multiple comparison testing, including the Holm test
* Discussion of relative risks and odds ratios
* Updated examples from the literature
To run statistical tests of your own data, turn to PRIMER OF BIOSTATISTICS: THE PROGRAM, available in Windows. This remarkably practical, affordable menu-driven program contains everything you need to perform meaningful analysis of your data. Use THE PROGRAM alone or in concert with the text. Available at your bookstore or directly from the publisher (in the USA, call 1-800-262-4729).
Of related interest
Glantz & Slinker/PRIMER OF APPLIED REGRESSION & ANALYSIS OF VARIANCE, 2nd ed. (McGraw-Hill, 2001). Revised and expanded, this is the perfect sequel to PRIMER OF BIOSTATISTICS. Available at bookstores everywhere.
About the Author
Professor Glantz conducts research on tobacco control and cardiology. He is author or co-author of over 100 scientific papers and 6 books, including this book and Primer of Applied Regression and Analysis of Variance, 2nd ed. (McGraw-Hill, 2001). He wrote the first major review (published in Circulation) which identified involuntary smoking as a cause of heart disease, and the landmark July 19, 1995 issue of JAMA on the Brown and Williamson documents, which showed that the tobacco industry knew 30 years ago that nicotine is addictive and that smoking causes cancer. His work has attracted considerable attention from the tobacco industry, which has sued the University of California twice (unsuccessfully) in an effort to stop Professor Glantz's work.
Synopsis
You'll start with the basics, including analysis of variance and the t test, then advance to a multiple comparison testing, contingency tables, regression, and more. Examples from the current literature illustrate key concepts throughout.
New:
* More on multiple comparison testing, including the Holm test
* Discussion of relative risks and odds ratios
* Updated examples from the literature
Synopsis
Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the authors unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter.
About the Author
Stanton A. Glantz, PhD: Professor of Medicine, also Member, Cardiovascular Research Institute, Institute for Health Policy Studies, and Cancer Center, University of California, San Francisco.
Table of Contents
Summary of Some Statistical Methods to Test HypothesesLocation of Tables for Tests of SignificancePreface1. Biostatistics and Clinical Practice2. How to Summarize Data3. How to Test for Differences Between Groups4. The Special Case of Two Groups: The t Test5. How to Analyze Rates an Proportions6. What Does “Not Significant” Really Mean?7. Confidence Intervals8. How to Test for Trends9. Experiments When Each Subject Receives More than One Treatment10. Alternatives to Analysis of Variance and the t Test Based on Ranks11. How to Analyze Survival Data12. What Do the Data Really Show?Index