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(Ebook) Regression Analysis In Medical Research: For Starters And 2nd Levelers by Ton J. Cleophas, Aeilko H. Zwinderman ISBN 9783030613938, 9783030613945, 3030613933, 3030613941

  • SKU: EBN-23505362
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Instant download (eBook) Regression Analysis In Medical Research: For Starters And 2nd Levelers after payment.
Authors:Ton J. Cleophas, Aeilko H. Zwinderman
Pages:471 pages.
Year:2021
Editon:2nd
Publisher:Springer
Language:english
File Size:37.97 MB
Format:pdf
ISBNS:9783030613938, 9783030613945, 3030613933, 3030613941
Categories: Ebooks

Product desciption

(Ebook) Regression Analysis In Medical Research: For Starters And 2nd Levelers by Ton J. Cleophas, Aeilko H. Zwinderman ISBN 9783030613938, 9783030613945, 3030613933, 3030613941

In 2017, the authors completed the edition Regression Analysis in Medical Research
for Starters and 2nd Levelers. The edition covered in a non-mathematical way both
traditional and novel approaches to regression analyses already applied in published
clinical research. The edition was well received by medical/health workers and
students with over 4000 downloads within the first month of publication.
It came to the authors’ attention that, although the relevant methods of modernregression analysis were adequately accounted, information about history and background
and purposes was sometimes somewhat lacking, and this called for a second
edition.
In this second edition, each methodology has been extended with a two-to-threepagesection of history and background, and information of purposes for medical
practice.
Also textual and conceptual errors of the first edition have been corrected, andonly original tables and graphs of the statistical software programs have now been
used for improved usage and understanding of the methods. In addition, summaries
in the form of condensed overviews of history and presence of various categories of
analysis models, and of important contributors to the development of novel analysis
models are given. Furthermore, attention has been given to regressions important to
statistical testing of big data including canonical regressions and the implementation
of optimal scalings in sparse canonical correlation analyses. Finally, quantile regression,
a novel field of regression analysis, particularly suitable for analyzing skewed
data like Covid-19 data, has been included. The 2020 version of SPSS statistical
software has been applied for the purpose.
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