Understanding Clinical Data Analysis - Learning Statistical Principles from Published Clinical Research (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	August 2016
First published:	2017
Authors:	Ton J. Cleophas • Aeilko H. Zwinderman
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	234
Edition:	1st ed. 2017
ISBN-13:	978-3-319-39585-2
Categories:	Books > Medicine > Clinical & internal medicine > General Books > Medicine > General issues > Medical equipment & techniques > General Promotions
LSN:	3-319-39585-8
Barcode:	9783319395852

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