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Book synopsis

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? The book will cover the WHY-SOs.§

Book details

Book category Books in English Medicine Medicine: general issues Medical bioinformatics

• Full title: Understanding Clinical Data Analysis
• Subtitle: Learning Statistical Principles from Published Clinical Research
• Author: Ton J. Cleophas, Aeilko H. Zwinderman
• Language: English
• Binding: Hardback
• Number of pages: 234
• EAN: 9783319395852
• ISBN: 3319395858
• ID: 02991858
• Publisher: Springer International Publishing AG
• Weight: 4912 g
• Dimensions: 235 × 155 × 19 mm
• Date of publishing: 23. August 2016

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