Ebook Modern Epidemiology

Ebook Modern Epidemiology

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Modern Epidemiology

Modern Epidemiology


Modern Epidemiology


Ebook Modern Epidemiology

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Modern Epidemiology

Product details

Hardcover: 758 pages

Publisher: LWW; Third, Mid-cycle revision edition (December 28, 2012)

Language: English

ISBN-10: 9781451190052

ISBN-13: 978-1451190052

ASIN: 1451190050

Product Dimensions:

7.2 x 1 x 10.2 inches

Shipping Weight: 3 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

34 customer reviews

Amazon Best Sellers Rank:

#310,507 in Books (See Top 100 in Books)

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.

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.

Might be the authority text in the field, but incredibly dense and abstract without practical examples.

If you're an epidemiologist (or studying to be one), this is definitely a resource you need to have on hand. I've found it useful in studying for my PhD qualifying exams, and also as a reference in teaching students. It is the "go-to" whenever there is a question at hand.

This is an outstanding textbook, explaining the state-of-the-art thinking in Epidemiology. I am giving it 4 stars, because the book is quite dense and you basically have to read most chapters several times to really understand what they are saying!

Needed the book for class- and it was a good deal.

Required by my course

The gold standard text.

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