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Modern Epidemiology [Hardcover]

Kenneth J. Rothman (Author), Sander Greenland (Author)
3.1 out of 5 stars  See all reviews (19 customer reviews)


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Modern Epidemiology Modern Epidemiology 4.3 out of 5 stars (11)
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Book Description

0316757802 978-0316757805 January 15, 1998 2nd
The expanded Second Edition of Dr. Rothman's acclaimed Modern Epidemiology reflects the remarkable conceptual development of this evolving science and the engagement of epidemiologists with an increasing range of current public health concerns. This landmark work is the most comprehensive and cohesive text on the principles and methods of contemporary epidemiologic research.Coauthored by two leading epidemiologists, with 15 additional contributors, the Second Edition presents a much broader range of concepts and methods than Dr. Rothman's single-authored original edition. Coverage of basic measures and study types is more thorough and includes a new chapter on field methods. New chapters on advanced topics in data analysis, such as hierarchical regression, are also included. A new section covers specific areas of research such as infectious disease epidemiology, ecologic studies, disease surveillance, analysis of vital statistics, screening, clinical epidemiology, environmental and occupational epidemiology, reproductive and perinatal epidemiology, genetic epidemiology, and nutritional epidemiology.

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Product Details

  • Hardcover: 737 pages
  • Publisher: Lippincott Williams & Wilkins; 2nd edition (January 15, 1998)
  • Language: English
  • ISBN-10: 0316757802
  • ISBN-13: 978-0316757805
  • Product Dimensions: 10.2 x 7.3 x 1.5 inches
  • Shipping Weight: 3.2 pounds
  • Average Customer Review: 3.1 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #457,160 in Books (See Top 100 in Books)

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Customer Reviews

19 Reviews
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 (7)
4 star:
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Average Customer Review
3.1 out of 5 stars (19 customer reviews)
 
 
 
 
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19 of 20 people found the following review helpful:
5.0 out of 5 stars Great reference, but not a book for first time epi students., October 24, 2001
By A Customer
This review is from: Modern Epidemiology (Hardcover)
The first edition grew out to be the reference of choice of many epidemiologists. This new edition should secure that status, even though the Encyclopedia of Epidemiologic Methods (Gail and Benichou) should provide some serious competition. In fact this text is so complete that it may even stimulate the whole field.
If practising medical researchers start to apply the knowledge provided, then econometrics and psychometrics teachers will have to find a new source for their jokes.
However, in the process the book lost its attraction as a text for students. It has become more technical and less readable. That shouldn't bother students as there are plenty of good elementary books (like Hennekens) and even intermediate books (like the excellent Epidemiology: Beyond the Basics by Nieto and Szklo). The only reason I can think of why you would like to use this book in class is that you're a teacher who likes to study this ultimate reference yourself. What better way than to teach from it?
So this book isn't for students, unless however, you're a student who already has got a firm background in epidemiology, statistics, econometrics or something similar, than this may just be the book for you.
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17 of 18 people found the following review helpful:
5.0 out of 5 stars The Ultimate Reference for Epidemiologic Methods, October 8, 2000
By A Customer
This review is from: Modern Epidemiology (Hardcover)
The first edition of this book was a superb, tightly written mongraph, but it was a single-authored work written in the 1980s and needed to be updated. This new edition seems to be intended as a more comprehensive reference work on epidemiologic methods, adding a dozen authors and covering many topics that were not in the first edition, such as reproductive epidemiology and infectious disease epidemiology. Some readers might find it to be too detailed and broad to be easily digested in a short time. Nevertheless, as a reference guide, I don't think that it has any rival. The first 100 pages or so are a clearly rewritten update of the core material from the first edition. The middle chapters, which are new and mostly written by Greenland, are a little slow-going but are worth the effort if you want a cutting-edge insight into epidemiologic methods. The final section, with many contributors, presents the specific methodology of nearly every area of epidemiologic research. Overall, this book is essential if you are serious about understanding epidemiology.
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9 of 9 people found the following review helpful:
3.0 out of 5 stars A good reference on shelf, June 20, 2006
By 
Robert J. Chen (Atlanta, GA, USA) - See all my reviews
(REAL NAME)   
This review is from: Modern Epidemiology (Hardcover)
It is a good refence-type textbook for epidemiology. I first used it in my introductory course of epidemiology at Harvard University's program of Master of Public Health. Even Prof. Rothman came to classroom in person for several lectures. It was a good book but accompanying books were needed for better understanding of the topic. Now I am in my PhD program at National Taiwan University, Taiwan and using the book for the 2nd time. There are still new things to discover from the book. For a reader who uses the textbook twice in graduate studies, I recommend it as a guide or outline for further exploration into the field. Advanced studies require lots of reading, aren't they? It should be on your shelf, for future reference, but not the only one.
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Inside This Book (learn more)
First Sentence:
Epidemiology is still a young science. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
exponential rate model, linear risk model, ecologic bias, minimum induction time, average incidence time, adjacency methods, causal rate ratio, ecologic estimate, logit risk, transmission probability ratio, causal risk difference, log rate ratio, causal odds ratio, ecologic measures, stratified analysis methods, independent nondifferential misclassification, estimated rate ratio, causal ratio, ecologic analyses, biologic inference, fecundability ratio, unstratified data, standardized rate ratio, disease misclassification, entire source population
Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Rate Cases, New York, Mayo Clinic, National Cancer Institute, Lambeth Company, Mantel-Haenszel Estimation, Morb Mortal Wkly Rep, Natl Cancer Inst, Institute of Medicine, Risk Related
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