In the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.
This textbook gives a good overview of the core concepts of Epidemiology, I learned a lot from it. However, I particularly appreciated how the author spent time talking about best practice and challenged common pitfalls and misunderstandings that are prevalent in the literature.
I have Modern Epidemiology by the same author and I thought it had only basic concepts but it was a good surprise when I found many concepts that reinforced what I learned. Besides, the author shows a lot of good examples that make it easier to understand the point he has in mind.it is a much easier read than the bigger one by the same author. It forces you to think outside the box which essentially is what epidemiology is all about.
it is a much easier read than the bigger one by the same author. It forces you to think outside the box which essentially is what epidemiology is all about. It is concise but not at the expense of the quality of the material covered.