Epidemiology
An Introduction
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Product details:
- Publisher Oxford University Press
- Date of Publication 21 March 2002
- ISBN 9780195135541
- Binding Paperback
- No. of pages236 pages
- Size 233x156x13 mm
- Weight 349 g
- Language English
- Illustrations 28 line illustrations 0
Categories
Short description:
This new introductory text offers a simple and coherent account of current thinking on epidemiologic study design, data analysis and interpretation. The book begins with an introduction to causal thinking and causal inference, leading into measures of disease occurence and measures of effect. With this foundation, the reader learns how design, analyze and interpret epidemiologic research studies, and how to deal successfully with confounding, the role of chance, and the
exploration of interactions.
Long description:
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. Epidemiology: An Introduction
closes the gap. It begins with a brief, lucid discussion of casualy 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 epidemiologic research studies, and how to deal with the fundamental 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 is an excellent introduction to the principles and concepts of epidemiology.
Table of Contents:
Introduction to Epidemiologic Thinking
What is Causation?
Measuring Disease Occurrence and Causal Effects
Types of Epidemiologic Study
Biases of Study Design
Random Error and the Role of Statistics
Analyzing Simple Epidemiologic Data
Controlling Confounding by Stratifying Data
Measuring Interactions
Using Regression Models in Epidemiologic Analysis
Epidemiology in Clinical Settings
