Primer of Biostatistics [Paperback]

Stanton A. Glantz (Author)

Book Description

ISBN-10: 0071379460 | ISBN-13: 978-0071379465 | Publication Date: November 5, 2001 | Edition: 5

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

Editorial Reviews

From the Back Cover

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.

About the Author

Professor Glantz Stanton A. Glantz, PhD, is Professor of Medicine at the University of California San Francisco where he 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.

Product Details

• Paperback: 489 pages
• Publisher: McGraw-Hill/Appleton & Lange; 5 edition (November 5, 2001)
• Language: English
• ISBN-10: 0071379460
• ISBN-13: 978-0071379465
• Product Dimensions: 8 x 5.4 x 0.8 inches
• Shipping Weight: 1 pounds
• Average Customer Review: 3.8 out of 5 stars  See all reviews (11 customer reviews)
• Amazon Best Sellers Rank: #773,899 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

36 of 37 people found the following review helpful:

3.0 out of 5 stars Not a good biostats textbook, October 1, 2003

By 

Lisa Lambert "Genes rule" (Pittsburgh, PA United States) - See all my reviews
(REAL NAME)   

This review is from: Primer of Biostatistics (Paperback)

I adopted this book last year for my first year grad level course in biostatistics (for MS Biology students) and my students and I were very unhappy with it. It presents ANOVA in a very unusual (and confusing) way, and it's not easy to find the needed formulas buried in the text. The authors present some tests well (ex. Tukey) and make a very good point about the misuse of the standard error of the mean. The examples and end of the chapter problems are very good for medical applications; however, several of the problems refer to non-existent tables or problems (or ones that are numbered differently) and several provide answers that are just plain wrong! We compiled a list of errors we found and emailed both the first author and the publisher and never received a reply. It was definitely not worth the aggravation! This year we are using Biostatistics: The Bare Essentials. It, too, is flawed, but the students report that finding the appropriate formulas and examples is relatively easy. It doesn't provide enough problems for each chapter to test you knowledge, and the humor is a bit bizarre, but it is a better teaching text.

31 of 33 people found the following review helpful:

5.0 out of 5 stars This book kicks a**., August 3, 1999

By A Customer

This review is from: Primer of Biostatistics (Paperback)

I am a biochemist with a Ph.D. with a poor background in statistics. This is a very useful book that helped me learn to analyze basic biological data. It is easy to use, easy to read, and contains lots of clear examples. I use it every time I write a paper to make sure my statistical analyses are as thorough as possible. It contains lots of explanations of which test you should use and when to use them.

13 of 14 people found the following review helpful:

3.0 out of 5 stars Lots of mistakes in this book, November 12, 2003

By 

michael Gorman (San Francisco, CA) - See all my reviews

This review is from: Primer of Biostatistics (Paperback)

The concept of this book is good-cut to the chase and give lots of relevent examples. However, the book has innumerable typos which can make it very dificult to follow the text. Some sections are just incomprehensible such as the section on power calculations for the chi square test. Most of the exercises at the end of the chapter are heavy on arithmetic and light on conceptual issues. Often the answers to the exercises are wrong. All these typos are really unacceptable for a fifth edition. I am at Amazon looking for another text to keep as a reference. By way of disclaimer, I am taking the author's course on introductory biostatistics and am doing average.