Synopses & Reviews
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.
The PRIMER OF BIOSTATISTICS Statistical Software Version 5.0 CD-ROM computes all the statistics described in the book and includes 30 statistical analyses (descriptive statistics, group comparisons, multiple comparison tests, rates and proportions, regression and correlation, group comparisons (nonparametric), and survival analyses). Its menu-driven program performs meaningful analysis of your data quickly and easily. The CD-ROM provides online advice on which test to run, and printing results is as easy as point and click.
Version 5.0 features:
*More statistical tests
*Improved user interface
*Runs on any Windows 95 or higher computer
*Very easy to use
*Statistical advisor helps you decide what test to use
Use this software in concert with Glantz's PRIMER OF BIOSTATISTICS, 5th edition or as a stand-alone. Either way, you'll find its thoroughness surpassed only by its ease-of-use. For further study, see Glantz & Slinker's PRIMER OF APPLIED REGRESSION & ANALYSIS OF VARIANCE, 2nd edition in your bookstore.
Synopsis
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 authors 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.
About the Author
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.
Table of Contents
Summary of Some Statistical Methods to Test HypothesesLocation of Tables for Tests of SignificancePreface1. Biostatistics and Clinical Practice2. How to Summarize Data3. How to Test for Differences Between Groups4. The Special Case of Two Groups: The t Test5. How to Analyze Rates an Proportions6. What Does “Not Significant” Really Mean?7. Confidence Intervals8. How to Test for Trends9. Experiments When Each Subject Receives More than One Treatment10. Alternatives to Analysis of Variance and the t Test Based on Ranks11. How to Analyze Survival Data12. What Do the Data Really Show?Index