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Epidemiology: Study Design and Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

by Mark Woodward

ISBN-10: 9781584884156
ISBN-10: 1-58488-415-0
ISBN-13: 9781584884156
ISBN-13: 978-1-58488-415-6
Hardcover
2004-11-29
Chapman and Hall/CRC


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Editorials


Product Description
Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence.

New Material in This Edition Includes:
  • Systematic evaluation
  • Meta-analysis
  • Regression dilution
  • Case-cohort studies
  • Case-crossover studies
  • Pooled logistic regression
  • Companion Web site containing data sets for examples and exercises, SAS and Stata code for examples, a sample size calculator, and a SAS floating absolute risk macro

    The second edition of a popular textbook, this book emphasizes quantitative and design aspects of epidemiological research. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research.

  • Reviews


    thorough coverage of statistical methods used in epidemiology
    This second edition is a massive text of over 800 pages that covers thoroughly the various study designs and statistical analysis methods used in Epidemiology. I have not seen the first edition so if you are interested in contrasting it with the first edition, the back cover gives a summary of the subjects that are added. This is a very practical book that avoids advanced mathematics and proofs and concentrates on basic math and practical results. Real data is used in the examples including the Scottish Heart Health Study data. The final chapter covers the important issues in meta-analyses.

    Good and quite complete
    This is realy a good book and quite complete. Some issues are out, but probably could come in an advanced release.
    Text are easy and smooth.

    Excellent pres. of epi & data-analysis -mostly for students
    This book can both be used as a first time introduction to epidemiology and the most popular statistical methods employed in health research, but also for looking up things when you need it, since it is actually quite thorough on a lot of subjects in the field. This is, however, not the best thing about the book.
    The best thing about it is that it is very well-written - neither too complicated and unstructured, or too common-sense to the point where you get annoyed because the author never gets to the point. I'm sure that some readers will be find that Woodward has spend to many pages on the statistical part - at least if they expect to find a pure epidemiology-textbook - but the data analysis part is also very well-written and quite comprehensible. So even if you're not planning on spending the rest of your life with data analysis, this book can provide you wih an understanding of this part of epidemiological research as well, which will make the understanding of the field as a whole much better.


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