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Modern Epidemiology Third Edition

3.7 out of 5 stars 27 customer reviews
ISBN-13: 978-0781755641
ISBN-10: 0781755646
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Product Details

  • Hardcover: 851 pages
  • Publisher: LWW; Third edition (March 14, 2008)
  • Language: English
  • ISBN-10: 0781755646
  • ISBN-13: 978-0781755641
  • Product Dimensions: 10.2 x 7 x 1.1 inches
  • Shipping Weight: 3.1 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (27 customer reviews)
  • Amazon Best Sellers Rank: #591,486 in Books (See Top 100 in Books)

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Customer Reviews

Top Customer Reviews

Format: Hardcover
Masterly. Rothman and coworkers' 3rd edition of the classic `Modern Epidemiology' is a landmark step in presenting with cohesiveness and clarity traditional + cutting-edge concepts and methods for observational research (and by extension for experimental research on human subjects as well, since problems like unblinding or loss-to-follow-up may reintroduce bias in clinical trials after randomization, with a corresponding need for epidemiological interpretative and analytical tools).
This highly regarded volume has no equal, as it has been not only an authoritative source of information but `the' reference on epi methods for almost a quarter century. For those looking for an introductory level textbook, Rothman's one by Oxford University Press is highly recommended, since the comprehensive `Modern Epidemiology' requires some previous exposure to the concepts and biostatistical methods presented.
The 3rd edition is an encyclopedic effort, brings methodological coherence to a whole new level, is highly readable, and confirms itself as the standard reference on epidemiological and clinical research for many more years to come. An outstanding scholarly achievement.
Definitely a must-have for anyone who needs to learn and apply basic/advanced epidemiological methods rigorously in clinical as well as general population settings.
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Format: Hardcover Verified Purchase
I am a social scientist, not an epidemiologist, and I found this book to exceptionally good. It is the most current, complete, and clear presentation of methods for causal inference for observational (i.e. non-experimental) studies that I have seen. The things that really set this book apart for me include:

1. It synthesizes contributions by Pearl and Rubin on the foundations of causal inference, and contributes its own perspective via the sufficient cause model. This is truly cutting edge, not to mention impeccably coherent.
2. The first third of the book is on study design, including measurement, sampling, and defining effects. This is just fantastic. Many methods textbooks jump right into approaches to analyzing data with little time taken to discuss how to make the data in the first place. This book provides a major corrective to that tendency.
3. In data analysis, a lot of attention is given to sparse data problems, which again is just great. So many textbooks overlook this problem, which is a huge omission.
4. The data analysis section includes discussion of up-and-coming data mining and non-parametric methods (e.g. BART, boosted regression, etc.) to characterize response surfaces in the service of causal inference. That's amazingly cutting edge for a textbook.
5. The meta-analysis section emphasizes simplicity and provides a very nice list of common errors that should be avoided.
6. The references are to state of the art literature not only in epidemiology, but also in econometrics, education research, and statistics. It's great to see such cross-fertilization across disciplines, and it shows how these various disciplines are converging, it seems, on common analytical tools for causal inference in observational studies.

There are lots of nice examples throughout the book too. For other social scientists out there, I highly recommend this as a primer on state of the art methods for carrying out observational studies.
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Format: Hardcover Verified Purchase
This is an excellent book (5 stars for content), but this edition, which is described as "Third Edition, Mid-cycle revision" and dated 2012 appears to be the exact same text as the 2008 Third Edition (3 stars for unclear product description). The only difference is that this product comes with online access to the e-book version and "additional resources". The only added resource I could find was errata - and this should be available to anyone who purchased the 2008 book anyway. The publisher should make this information clear so customers can make informed buying decisions.
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Format: Hardcover
This book is a seminal text in the field of Epidemiology. Some readers may be looking to gain a basic understanding of Epidemiology with this textbook, but other books are more suited to that task (Kleinbaum or Aschengrau or Gordis). Rothman has been called one of the "Gods" of modern epidemiology by various acquaintances in the field, and for good reason. His contributions are easily verified with searches and with study in this field.

His textbook lays down the philosophical and methodological foundation necessary to truly master the various aspects of modern epidemiology. Much like the mathematics student would not start their studies in calculus before learning algebra, so too must a reader have a familiarity with epidemiological concepts and methods before picking up this book. Nevertheless, for those willing to put in the effort, it is a highly logical and rewarding exposition on modern epidemiology.
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Format: Hardcover
The third edition of Modern Epidemiology is a wonderful scholarly achievement. It is truly the gold standard among textbooks that deal with epidemiologic methods. There is a lot of new material in this new edition. Some of the sections have been re-arranged to improve the flow and the coherence of the material. I particularly enjoyed the new chapters on causal diagrams and bias analysis. Unlike many of the reference textbooks I own that sit idly on my book shelf, I repeatedly refer to Modern Epidemiology whenever I have a challenging study design or analysis issue. I gain new epidemiologic insights each time I open it.
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