Regression Analysis in Medical Research

for Starters and 2nd Levelers

  • Ton J. Cleophas
  • Aeilko H. Zwinderman

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 1-39
  3. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 41-59
  4. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 61-73
  5. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 75-103
  6. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 105-129
  7. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 131-146
  8. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 147-153
  9. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 155-177
  10. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 179-192
  11. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 193-200
  12. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 201-212
  13. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 213-225
  14. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 227-235
  15. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 237-248
  16. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 249-253
  17. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 255-266
  18. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 267-277
  19. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 279-298
  20. Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 299-318

About this book

Introduction

This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses.     

The authors, as professors in statistics and machine learning at European universities, are worried, 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. It is the main incentive for writing this 28 chapter edition, consistent of

                - 28 major fields of regression analysis,

                - their condensed maths,

                - their applications in medical and health research as published so far,

                - step by step analyses for self-assessment,

                - conclusion and reference sections.

Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations. However, in the past two decades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. It is written for a non-mathematical readership. Self-assessment data-files are provided through Springer' s "Extras Online".    

 

Keywords

regression analysis non-mathematicians dependent data non-parametric statistics nonlinear regression

Authors and affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department MedicineAlbert Schweitzer HospitalSliedrechtThe Netherlands
  2. 2.Department of Epidemiology and BiostatisticsAcademic Medical CenterAmsterdamThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71937-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-71936-8
  • Online ISBN 978-3-319-71937-5
  • About this book