Beth Dawson, PhD, Southern Illinois University School of Medicine, Springfield, IL

Robert G. Trapp, MD, Springfield, IL

Overview

A comprehensive user-friendly introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research. Features “Presenting Problems” (case studies) drawn from studies published in the medical literature, end-of-chapter, and a CD-ROM with data sets and statistical software programs.

Table of contents

1. Introduction to Medical Research

2. Study Designs in Medical Research

3. Summarizing Data & Presenting Data in Tables and Graphs

4. Probability & Related Topics for Making Inferences About Data

5. Research Questions about One Group

6.Research Questions about Two Separate or Independent Groups

7. Research Questions about Means in Three or More Groups

8. Research Questions about Relationships among Variables

9. Analyzing Research Questions about Survival

10. Statistical Methods for Multiple Variables

11. Survey Research

12. Methods of Evidence-Based Medicine & Decision Analysis

13. Reading the Medical Literature

Appendix A: Tables

Appendix B: Answers to Exercises

Appendix C: Flowcharts

Glossary

Biographical note

Beth Dawson, PhD, Southern Illinois University School of Medicine, Springfield, IL

Robert G. Trapp, MD, Springfield, IL

Back cover copy

The ideal way to develop sound judgment about data applicable to clinical care.

*First choice of students, educators, and practitioners

*A thorough, meaningful, and interesting presentation of biostatistics

*Helps students become informed users and consumers of biostatistics

" ... Readers may 'learn' and then 'do' immediately ... I learned a lot from this book."

—Online review of the Third Edition

Learn to evaluate and apply statistics in medicine, medical research, and all health-related fields.

*Emphasis on the basics of biostatistics and epidemiology and the clinical applications in evidence-based medicine and decision-making methods

*NEW chapter on survey research

*Expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods

*Key Concepts in each chapter pinpoint essential information

*Presenting Problems drawn from studies in the medical literature that illustrate the various statistical methods

*CD-ROM with NCSS statistical software, procedures, and data sets from the presenting problems

*End-of-chapter exercises

*Multiple-choice final practice exam