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Epidemiology: Study Design and Data Analysis PDF is one of the best book for quick review. It is very good book to study a day before your exam. It can also cover your viva questions and will help you to score very high.
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Features of Epidemiology: Study Design and Data Analysis PDF
Following are the features of Epidemiology: Study Design and Data Analysis PDF:
Epidemiology is a subject of growing importance, as witnessed by its role in the description and prediction of the impact of new diseases such as AIDS and new-variant CJD.Epidemiology: Study Design and Data Analysis covers the whole spectrum of standard analytical techniques used in epidemiology, from descriptive techniques in report writing to model diagnostics from generalized linear models. The author discusses the advantages, disadvantages, and alternatives to case-control, cohort and intervention studies and details such crucial concepts as incidence, prevalence, confounding and interaction. Many exercises are provided, based on real epidemiological data sets collected from all over the world. The data sets are also available on an associated web site. Epidemiology: Study Design and Data Analysis will be an invaluable textbook for statistics and medical students studying epidemiology, and a standard reference for practicing epidemiologists.
Reviews from Amazon users which were colected at the time this book was published on the website:
So classic a book with many nice concise examples to make you easy to get covering all the field of epidemiology! Get it and know it.
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.
Exactly as described. Fast shipping!
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.
As an analyst regularly working on epidemiological studies of prescription drug safety, I find this an excellent reference book. It’s clearly written with plentiful examples to help the reader understand study design and applying methods in data analysis. I reach for this book much more regularly than the classic Modern Epidemiology by Rothman et al.
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