Primer of Biostatistics

by Stanton A. Glantz

A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences

"CD-ROM performs 30 statistical tests"

Don't be afraid of biostatistics anymore! "Primer of Biostatistics,7th Edition" demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you'll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently. With "Primer of Biostatistics," you'll start with the basics, including analysis of variance and the "t" test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics.

The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging.

Coverage includes How to summarize data How to test for differences between groups The "t" test How to analyze rates and proportions What does "not significant" really mean? Confidence intervals How to test for trends Experiments when each subject receives more than one treatment Alternatives to analysis of variance and the "t" test based on ranks How to analyze survival data

Genres: Science, Nonfiction

320 pages, ebook

First published August 1, 1981

Reviews

[Jason Yang · Rating 4 out of 5]

I thought this was a really well-written textbook for being an introduction to practical statistics. I appreciate the use of examples illustrating studies using of the different methods. In general, the authors could have afforded to include more details (perhaps in explaining how some of the expressions are derived), but overall I think the authors struck a great balance between theory and application - for those who care more about how to use statistics rather than understand statistics.

[Navid · Rating 4 out of 5]

I have not read the entire book, only a few chapters that I needed. This is a good book as long as you are looking for an introduction to statistics. The book includes many practical examples which helps with learning how to apply the theory. If you want to learn about more advanced concepts (post-hoc analysis, internal reliability scores, etc.) this is not the book you are looking for!

[Carmel · Rating 5 out of 5]

My all-time favorite stats book. Plus Stan Glantz is just a great lecturer.

[Hakan Kececi]

thankn