Primer of Biostatistics 6e Book & CD-ROM / Edition 6

Primer of Biostatistics 6e Book & CD-ROM / Edition 6

by Stanton A. Glantz
     
 

ISBN-10: 0071447814

ISBN-13: 9780071447812

Pub. Date: 07/28/2005

Publisher: McGraw-Hill Companies, The

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

Overview

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.

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.

Product Details

ISBN-13:
9780071447812
Publisher:
McGraw-Hill Companies, The
Publication date:
07/28/2005
Edition description:
CD-ROM&Book PKG
Pages:
500
Product dimensions:
5.20(w) x 8.00(h) x 1.20(d)

Table of Contents

Summary of Some Statistical Methods to Test HypothesesLocation of Tables for Tests of SignificancePreface

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

11. How to Analyze Survival Data

12. What Do the Data Really Show?Index

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