
Through a combination of descriptive text and exercises, this book presents an accessible framework for the planning and critical evaluation of epidemiologic studies. It describes the principal sources of error, their impact on the results, and the research strategies used to prevent errors. These strategies are the building blocks of epidemiologic study design which generally seek to obtain accurate results despite the employment of limited resources. The volume is illustrated with examples and exercises from studies published in international journals. It starts with an introduction of basic concepts, followed by a discussion of the basics of selecting the study population and follow-up period, asking the right questions, obtaining information on exposures, and analyzing disease occurrence. Separate treatment is given to strategies specific to case-control or experimental studies. Each step in the planning or critical evaluation of a study is illustrated by exercises covering a wide range of exposures--dietary factors, tobacco, alcohol, drugs, radiation and occupational hazards among others--and diseases such as cancer, cardiovascular disease, diabetes, and psychiatric disorders. The book concludes with an overall review of the different aspects of study design and a set of answers to the exercises. The text will equip students with a clear and thorough understanding of the design and accuracy of epidemiologic studies.
This volume investigates the fundamental principles of epidemiologic study design and the systematic identification of error sources in clinical research. Staffan E. Norell provides a structured framework for students and researchers to plan and critically evaluate studies, emphasizing the balance between resource constraints and the pursuit of accurate data. The text utilizes a combination of conceptual explanations and practical exercises to translate theoretical methodology into actionable research strategies.
What You Will Find
Experts recognize this work as a practical pedagogical tool that bridges the gap between abstract statistical theory and real-world application. Students frequently note the clarity of the exercises, which effectively reinforce the technical concepts presented in the introductory chapters.
Page Count:
328
Publication Date:
1995-04-27
Publisher:
Oxford University Press
ISBN-10:
0195074912
ISBN-13:
9780195074918
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