Textbook of Clinical Epidemiology

This book is a comprehensive and practical introduction of clinical epidemiology for students and practitioners. It covers both the basic principles and concepts of clinical epidemiology as well as its applications in various medical disciplines.

It covers how to design, conduct, and interpret clinical studies using methods such as bias analysis, confounding control, causality assessment, diagnosis evaluation, prognosis prediction treatment comparison, and meta-analysis in this book. It also introduces how to apply these skills to real-world scenarios through case studies and examples that provide a fresh perspective on familiar topics.

This book is a useful textbook for graduate and undergraduate students in medical schools, including MBBS (Bachelor of Medicine and Bachelor of Surgery) student.

Provides an overview of the principles of clinical epidemiology Covers the basic principles, concepts, and methodology and its practical applications An ideal textbook for MBBS (Bachelor of Medicine and Bachelor of Surgery) student

Autorentext
Editor Chongjian Wang is a professor in College of Public Health, Zhengzhou University, Zhengzhou, China.

Editor Fen Liu is a professor in School of Public Health, Capital Medical University, Beijing, China.

Inhalt

Chapter 1. Introduction.- Chapter 2. Distribution of Disease.- Chapter 3. Descriptive Study.- Chapter 4. Cohort Study.- Chapter 5. Case-Control Studies.- Chapter 6. Experimental Epidemiology.- Chapter 7. Screening and Diagnostic Tests.- Chapter 8. Bias.- Chapter 9. Cause of Disease and Causal Inference.- Chapter 10. Disease Prevention and Surveillance.- Chapter 11. Communicable Diseases Epidemiology.- Chapter 12. Epidemiology of Non-communicable Diseases.- Chapter 13. Epidemiology of Public Health Emergencies.- Chapter 14. Molecular Epidemiology.- Chapter 15. Pharmacoepidemiology.- Chapter 16. Evidence-based Medicine and Systematic Review.- Chapter 17. Disease Prognosis.- Chapter 18. Nosocomial Infections.- Chapter 19. Epidemiology Design in Clinical Research.

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