Primer of Biostatistics, Seventh Edition

by Stanton A. Glantz

Overview

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

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.

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

Product Details

ISBN-13:	9780071809924
Publisher:	McGraw Hill LLC
Publication date:	09/14/2012
Sold by:	Barnes & Noble
Format:	eBook
Pages:	320
File size:	15 MB
Note:	This product may take a few minutes to download.

About the Author

Stanton A. Glantz, PhD
Professor of Medicine
American Legacy Foundation Distinguished Professor in Tobacco Control
Director, Center for Tobacco Control Research and Education
Member, Cardiovascular Research Institute
Member, Philip R. Lee Institute for Health Policy Studies
Member, Helen Diller Family Comprehensive Cancer Center
University of California, San Francisco
San Francisco, CA

Table of Contents

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

Editorial Reviews

Reviewer: Dinesh Sharma, M.D., MPH (East Tennessee State University Quillen College of Medicine)
Description: This is the seventh edition of a biostatistics primer by an expert in the field.
Purpose: This is a concise and useful introduction to biostatistics for medical students, students of public health, statistics, epidemiology, and biostatistics. It would be a handy guide for healthcare professionals to the interpretation and comprehension of biomedical literature.
Audience: The book is appropriate for graduate and undergraduate students and teachers of public health, statistics, epidemiology and biostatistics; medical students and healthcare professionals in training and practice.
Features: As a primer, it is written in a simple, intriguing, and enjoyable style. It gradually introduces the statistical tools such as t-test, correlation-coefficient, chi-square test, multiple comparison methods, sample size calculation, survival data analysis, etc. Concepts are illustrated with multiple examples ranging from real to hypothetical data. The CD-ROM which contains multiple statistical tests is a plus. Problems with answers at the end of each section would help students to hone their skills in statistical methods.
Assessment: The author has been successful in creating a good resource on biostatistics for the medical community. This is an excellent introduction to biostatistics that can be used as a reference at various levels. The book does not require any previous knowledge of biostatistics and, at the same time, it is a good review for experts.

Doody's Review Service