Interpreting epidemiologic evidence connecting research to applications 2nd Edition by David A Savitz, Gregory A Wellenius ISBN 0190243775 978-0190243777

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Product details:

ISBN 10: 0190243775 

ISBN 13: 978-0190243777

Author: David A. Savitz, Gregory A. Wellenius

 Epidemiology, the so-called “science of public health,” has undergone a boom in the last decade as public interest and engagement in population health has skyrocketed. While this boom has done much to spark advances in the technology of epidemiology, it has also made it harder for those who want to use epidemiology to guide policy and clinical practice to fully appreciate the meaning of the research findings.
Interpreting Epidemiologic Evidence offers those who have had an introductory course in epidemiology the knowledge they need to make clear connections from research findings to practical applications. Written in clear and lively prose, it empowers students at all levels to evaluate a study’s design, implementation, and ultimate findings, giving the guidance needed to apply the information appropriately. Liberal use of practical examples serves both to illustrate core concepts and to motivate readers to think critically about the causal connections that population health studies aim to explore.
Completely revised and updated, this new edition of Interpreting Epidemiologic Evidence is an invaluable core text for both epidemiologists in training and practitioners across other disciplines with even an introductory knowledge of epidemiology.

Table of contents: 

1. Introduction

2. The Nature of Epidemiologic Evidence

3. Causal Diagrams for Epidemiologic Inference

4. Strategy for Drawing Inferences from Epidemiologic Evidence

5. Confounding I: Theoretical Considerations

6. Confounding II: Practical Considerations

7. Selection Bias and Confounding Resulting from Selection in Cohort Studies

8. Selection Bias in Case-Control Studies

9. Bias Due to Loss of Study Participants

10. Measurement and Classification of Exposure

11. Measurement and Classification of Disease

12. Random Error

13. Integration of Evidence Across Studies

14. Characterization and Communication of Conclusions

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Tags: David A Savitz, Gregory A Wellenius, Interpreting Epidemiologic Evidence, Connecting Research, Applications