Primer of Biostatistics, Seventh Edition, 7th Edition

ISBN10: 0071781501 | ISBN13: 9780071781503

By Stanton Glantz

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ISBN10: 0071781501 | ISBN13: 9780071781503

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

A Doody's Core Title for 2017!

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 enjoyable.

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

CD-ROM PERFORMS 30 STATISTICAL TESTS

Preface
1. Biostatistics and Clinical Practice
2. How to Summarize Data
3. How to Test for Differences between Groups
4. The Special Case of Two Groups: The t test
5. How to Analyze Rates and Proportions
6. What Does "Not Significant" Really Mean?
7. Confidence Intervals
8. How to Test for Trends
9. Experiments When Each Subject Receives More Than One Treatment
10. Alternatives to Analysis of Variance and the t test Based on Ranks
11. How to Analyze Survival Data
12. What Do the Data Really Show?
Appendix A: Computational Forms
Appendix B: Statistical Tables and Power Charts
Appendix C: Answers to Exercises
Index

About the Author

Stanton Glantz

Stanton Glantz is Professor of Medicine and Director of the Center for Tobacco Control Research and Education at the University of California San Francisco, where he conducts research on tobacco control and cardiology. He is author or co-author of over 300 scientific papers and nine books in addition to Primer of Biostatistics, 7th ed. (McGraw-Hill, 2012) and Primer of Applied Regression & 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.

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