Primer of Biostatistics 6/e Valuepack (Book and CDROM) - Brossura

Glantz, Stanton

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9780071447812: Primer of Biostatistics 6/e Valuepack (Book and CDROM)

Brossura

ISBN 10: 0071447814 ISBN 13: 9780071447812

Casa editrice: McGraw-Hill Education / Medical, 2005

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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 author’s 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.

The CD-ROM is a menu-driven program that contains everything required to perform meaningful analysis of data and runs statistical tests providing advice on optimal test results.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

L'autore:

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.

Contenuti:

Summary of Some Statistical Methods to Test Hypotheses Location of Tables for Tests of Significance 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 an 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