Epidemiology and Biostatistics Secrets
With STUDENT CONSULT Online Access
By- Robert Nordness, MD, Officer in Charge, Naval Underseas Medical Institute, Groton, CT; Harvard School of Public Health, Boston, MA
The Secrets Series® is breaking new ground again. A two-color page layout, a portable size, and a list of the "Top 100 Secrets" in biostatistics and epidemiology help readers to better meet the challenges they face today. And, at no extra charge, purchasers also receive online access to the complete contents of the text via Elsevier's innovative STUDENT CONSULT website. Readers will still find all of the features they rely on the Secret Series® fora question-and-answer format, lists, mnemonics, and tables and an informal tone that make reference fast and easy. No matter what questions arise in practice or while preparing for boards, this new volume has the answersin print and online.
The smart way to study!
Elsevier titles with STUDENT CONSULT will help you master difficult concepts and study more efficiently in print and online! Perform rapid searches. Integrate bonus content from other disciplines. Download text to your handheld device. And a lot more. Each STUDENT CONSULT title comes with full text online, a unique image library, case studies, USMLE style questions, and online note-taking to enhance your learning experience.
Audience
Students and residents in epidemiology and biostatistics, general medicine, public health, and allied health care professions; practitioners in all fields
Paperback, 272 Pages
Published: November 2005
Imprint: Mosby
ISBN: 978-0-323-03406-7
Contents
- I. Epidemiology
1. Epidemiology: A Historical Perspective
2. Introduction to Epidemiological Principles
3. Measuring Risk
4. Data Sources and Surveillance
5. Disease Transmission and Outbreak Investigation
6. Issues in Association and Causation
7. Research Model Designs
8. Evidence-based Medicine
II.Biostatistics
9. Introduction to Biostatistical Concepts
10. Describing and Summarizing Data
11. Frequency Distribution
12. Presentation of Data
13. Hypothesis Testing
14. Probability and Sampling
15. Characteristics of Diagnostic Tests
16. The Student t-test
17. Bivariate Analysis
18. Multivariate Analysis
19. Survival Analysis

