· 2016
Epidemiology: An introduction
- 1,527citations
- 2016year
Short summary
This paper introduces the fundamental principles and methods of epidemiology, covering concepts from causal thinking to statistical analysis and study design.
AI-generated from the title and abstract; the full text is not read.
Key points
- Defines epidemiology and its historical context, highlighting key pioneers.
- Explains the concept of causation and methods for measuring disease occurrence and causal effects.
- Details different types of epidemiologic studies and strategies for dealing with biases and random error.
- Covers statistical analysis techniques, including stratification for confounding and regression models.
AI-generated from the title and abstract; the full text is not read.
Abstract
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
The authors' abstract, as published at the source., 2016 · DOI ↗
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Field: Modeling and Simulation
Modeling and SimulationMathematics