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Oxford Handbook of Medical Statistics

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Tuesday, November 19, 2013

Oxford Handbook of Medical Statistics (Oxford Medical Publications) [Paperback]

Author: Janet Peacock | Language: English | ISBN: 0199551286 | Format: PDF, EPUB

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Oxford Handbook of Medical Statistics
You can download Oxford Handbook of Medical Statistics (Oxford Medical Publications) [Paperback] for everyone book 4shared, mediafire, hotfile, and mirror link
To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findings in clinical practice.
Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactor analyses, using examples from published research. References for further reading are given for more information on specific topics.
Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.
Books with free ebook downloads available Oxford Handbook of Medical Statistics
  • Series: Oxford Medical Publications
  • Paperback: 544 pages
  • Publisher: Oxford University Press; 1 edition (February 1, 2011)
  • Language: English
  • ISBN-10: 0199551286
  • ISBN-13: 978-0199551286
  • Product Dimensions: 7 x 4.1 x 0.9 inches
  • Shipping Weight: 10.4 ounces (View shipping rates and policies)
  • Amazon Best Sellers Rank: #780,273 in Books (See Top 100 in Books)
The authors managed to include amazingly large amount of important material in this little handbook. The book covers a wide variety of statistical procedures. Perhaps the best review book out there. Great job.
By Amir Gahremanpour
I had one undergraduate course in stochastic modeling and another in data mining. Basically, anyone with a course or two in statistics for non-math majors can directly apply what they learned to bio-medicine with the help of this book. Although ostensibly aimed at practicing physicians, as a healthcare IT person, I found this book helpful. I use it as if I were using a recipe book.
By John C. Sloan

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