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Doody's Review ServiceReviewer: Ashley E Kates, MS (University of Iowa College of Public Health)
Description: This update of book last published in 2006 provides a more in-depth discussion of epidemiology principles and methodologies than other books and provides examples and practice exercises throughout.
Purpose: The book aims to provide an intermediate level presentation of epidemiology concepts and methodologies, specifically in analytic epidemiology. This edition includes updated examples and new exercises as well as novel concepts and provides a more advanced discussion of epidemiology without the complexity of other advanced textbooks in this area. The authors discuss topics with the appropriate level of information while leaving out details unnecessary for the intermediate level of understanding.
Audience: According to the authors, this book is written primarily for epidemiology students looking to further their knowledge of epidemiology beyond the introductory level and for other readers who are looking for a more advanced understanding of analytic epidemiology, but are not looking for in-depth statistical methods. This will be useful to anyone in healthcare wishing to advance their understanding of epidemiology and for students in the earlier stages of coursework.
Features: This discussion of analytic epidemiology covers study design, measures of association, validity and threats to validity, as well as reporting results and public health policy. The book has a logical flow between topics as well as through chapters. Confounding, interaction, and biases are well covered. The authors use many figures, tables, examples, and end of chapter exercises to supplement the material and to help readers assess their understanding. While the text can be a bit dense at times, it is written at a level appropriate for more advanced readers.
Assessment: This book provides readers with a level of information not found in other texts and will benefit those looking to further their understanding of epidemiology, but are not looking for theoretical understanding or in-depth statistical methodologies. This third edition is welcome, with its new content and examples, and is an easier read than previous versions.