Overview
- Lacking information of the history, background, and purposes has now been entirely covered
- Editorial art work of the first edition has been systematically replaced with original statistical software tables and graphs for improved usage and understanding of the methods
- Novel fields of regression analysis adequate for big data, and, particularly, skewed big data, like current Covid-19 data, have been included
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Table of contents (27 chapters)
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Front Matter
Keywords
About this book
Regression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty complete textbook and tutorial for students as well as recollection / update bench and help desk for professionals.
It came to the authors' attention, that information of history, background, and purposes, of the regression methods addressed were scanty. Lacking information about all of that has now been entirely covered.
The editorial art work of the first edition, however pretty, was less appreciated by some readerships, than were the original output sheets from the statistical programs as used. Therefore, the editorial art work has now been systematically replaced with original statistical software tables and graphs for the benefit of an improved usage and understanding of the methods.In the past few years, professionals have been flooded with big data. The Covid-19 pandemic gave cause for statistical software companies to foster novel analytic programs better accounting outliers and skewness. Novel fields of regression analysis adequate for such data, like sparse canonical regressions and quantile regressions, have been included.
Authors and Affiliations
About the authors
Professor Zwinderman is one of the Principle Investigators of the Academic Medical Center Amsterdam, and his research is concerned with developing statistical methods for new research designs in biomedical science, particularly integrating omics data, like genomics, proteomics, metabolomics, and analysis tools based on parallel computing and the use of cluster computers and grid computing.
Professor Cleophas is a member of the Academic Committee of the European College of Pharmaceutical Medicine, that provides, on behalf of 22 European Universities, the Master-ship trainings "Pharmaceutical Medicine" and "Medicines Development".
From their expertisethey should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. 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 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 concerned, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis, and they do hope that the current production "Regression Analysis for Starters and 2nd Levelers" will be a helpful companion for the purpose.
Five textbookscomplementary 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,
Modern Meta-analysis, 2017, Regression Analysis in Medical Research, 2018,
Modern Bayesian Statistics in Clinical Research, 2018,
Analysis of Safety Data of Drug Trials, 2019,
Efficacy Analysis in Clinical Trials, 2019
All published by Springer
Bibliographic Information
Book Title: Regression Analysis in Medical Research
Book Subtitle: for Starters and 2nd Levelers
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
DOI: https://doi.org/10.1007/978-3-030-61394-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-61393-8Published: 02 March 2021
Softcover ISBN: 978-3-030-61396-9Published: 03 March 2022
eBook ISBN: 978-3-030-61394-5Published: 01 March 2021
Edition Number: 2
Number of Pages: XV, 475
Number of Illustrations: 410 b/w illustrations, 72 illustrations in colour