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Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research

Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research

Understanding Clinical Data Analysis: Learning Statistical Principles from
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Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research Hardback - 2016

by Cleophas, Ton J. (Author)/ Zwinderman, Aeilko H. (Author)

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Springer, 2016. Hardcover. New. 246 pages. 9.25x6.25x0.75 inches.
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Details

  • Title Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research
  • Author Cleophas, Ton J. (Author)/ Zwinderman, Aeilko H. (Author)
  • Binding Hardback
  • Condition New
  • Pages 234
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2016
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-3319395858
  • ISBN 9783319395852 / 3319395858
  • Weight 1.15 lbs (0.52 kg)
  • Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
  • Category Medical / Nursing
  • Dewey Decimal Code 610
  • Quantity available 2

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From the publisher

This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings.

In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? Thebook will cover the WHY-SOs.

About the author

The authors are well-qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015), and Professor Cleophas is past-president of the American College of Angiology (2000-2002). From their expertise they should be able to choose the best-help-there-is for making difficult issues understandable, that is real data examples from the global literature rather than hypothetical examples.

The authors have been working and publishing together for 18 years, and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of philosophy, biology, and mathematics.

The authors, as professors and teachers in statistics at universities in The Netherlands and France for the most part of their lives, are convinced, that the scientific method of statistical reasoning and hypothesis testing is little used by physicians and otherhealth workers, and they hope, that the current production will help them find the appropriate ways for answering their scientific questions.

Four textbooks complementary to the current production and written by the same authors are Statistics applied to clinical studies 5th edition, 2012, Machine learning in medicine a complete overview, 2015, SPSS for starters and 2nd levelers 2nd edition, 2015, Clinical Data Analysis on a Pocket Calculator 2nd edition, 2016, all of them edited by Springer Heidelberg Germany.


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