Epidemiology

Zusatztext Students and scholars who pursue epidemiology as a career should find this book a useful addition to their library ... a worthwhile new edition Informationen zum Autor Kenneth J. Rothman, DrPH, is a Distinguished Fellow at RTI International, an independent nonprofit research institute dedicated to improving the human condition. He is also Professor in the Departments of Epidemiology and Medicine at Boston University. His research interests in epidemiology have spanned a wide range of health problems, including cancer, cardiovascular disease, neurologic disease, birth defects, injuries, environmental exposures, and drug epidemiology, but his main career focus has been the development and teaching of the concepts and methods of epidemiologic research. Klappentext The second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Zusammenfassung Across the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of health events. A now-classic text, the second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Rather than focusing on formulas or dogma, the book presents basic epidemiologic principles and concepts in a coherent and straightforward exposition. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research. Inhaltsverzeichnis 1. Introduction to Epidemiologic Thinking 2. Pioneers in Epidemiology and Public Health 3. What is Causation? 4. Measuring Disease Occurrence and Causal Effects 5. Types of Epidemiologic Studies 6. Infectious Disease Epidemiology 7. Dealing with Biases 8. Random Error and the Role of Statistics 9. Analyzing Simple Epidemiologic Data 10. Controlling Confounding by Stratifying Data 11. Measuring Interactions 12. Using Regression Models in Epidemiologic Analysis 13. Epidemiology in Clinical Settings Appendix Index ...

Autorentext
Kenneth J. Rothman, DrPH, is a Distinguished Fellow at RTI International, an independent nonprofit research institute dedicated to improving the human condition. He is also Professor in the Departments of Epidemiology and Medicine at Boston University. His research interests in epidemiology have spanned a wide range of health problems, including cancer, cardiovascular disease, neurologic disease, birth defects, injuries, environmental exposures, and drug epidemiology, but his main career focus has been the development and teaching of the concepts and methods of epidemiologic research.



Klappentext
The second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts.

Zusammenfassung
Across the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of health events. A now-classic text, the second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Rather than focusing on formulas or dogma, the book presents basic epidemiologic principles and concepts in a coherent and straightforward exposition. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research.

Inhalt
1. Introduction to Epidemiologic Thinking
2. Pioneers in Epidemiology and Public Health
3. What is Causation?
4. Measuring Disease Occurrence and Causal Effects
5. Types of Epidemiologic Studies
6. Infectious Disease Epidemiology
7. Dealing with Biases
8. Random Error and the Role of Statistics
9. Analyzing Simple Epidemiologic Data
10. Controlling Confounding by Stratifying Data
11. Measuring Interactions
12. Using Regression Models in Epidemiologic Analysis
13. Epidemiology in Clinical Settings
Appendix
Index

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