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Statistics Applied to Clinical Trials pp 105–117Cite as

Curvilinear Regression

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Figure 1 upper graph shows a plot of data suggesting a curvilinear rather than linear relationship between the x- and y-values. Polynomial regression analysis or Fourier analysis can be used to study these data. Polynomial analysis is an extension of simple linear regression, where a model is used to allow for the existence of other kinds of systematic dependence of the independent y variable (blood presure) on the dependent x variable (time).

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6. References

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Authors and Affiliations

  1. European Interuniversity College of Pharmaceutical Medicine Lyon, France

    Ton J. Cleophas MD, PhD (Associate-Professor, President American College of Angiology, Co-Chair Module Statistics Applied to Clinical Trials, Internist-clinical pharmacologist) & Aeilko H. Zwinderman Math D, PhD (Professor, Co-Chair Module Statistics Applied to Clinical Trials, Professor of Statistics)

  2. Department Medicine, Albert Schweitzer Hospital, Dordrecht, The Netherlands

    Ton J. Cleophas MD, PhD (Associate-Professor, President American College of Angiology, Co-Chair Module Statistics Applied to Clinical Trials, Internist-clinical pharmacologist)

  3. Department Biostatistics and Epidemiology, Academic Medical Center Amsterdam, The Netherlands

    Aeilko H. Zwinderman Math D, PhD (Professor, Co-Chair Module Statistics Applied to Clinical Trials, Professor of Statistics)

  4. Technical University, Delft, The Netherlands

    Toine F. Cleophas D Techn

Authors
  1. Ton J. Cleophas MD, PhD
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  2. Aeilko H. Zwinderman Math D, PhD
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  3. Toine F. Cleophas D Techn
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© 2002 Springer Science+Business Media Dordrecht

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Cleophas, T.J., Zwinderman, A.H., Cleophas, T.F. (2002). Curvilinear Regression. In: Statistics Applied to Clinical Trials. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0337-7_10

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  • DOI: https://doi.org/10.1007/978-94-010-0337-7_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0570-1

  • Online ISBN: 978-94-010-0337-7

  • eBook Packages: Springer Book Archive

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