Exploring the clinical characteristics of chronic obstructive pulmonary disease using multiple and joint correspondence analysis

Authors

  • Daniel Lobo Castro MSc medical statistics student (UA)
  • Vera Enes University of Aveiro
  • Gabriela Moura University of Aveiro image/svg+xml
  • Alda Marques University of Aveiro image/svg+xml

DOI:

https://doi.org/10.34624/jshd.v2i2.19527

Keywords:

Chronic obstructive pulmonary disease, Joint correspondence analysis, Multiple correspondence analysis

Author Biographies

  • Vera Enes, University of Aveiro

    Centre for Research & Development in Mathematics and Applications (CIDMA), University of
    Aveiro.
    iBiMED – Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal.
    Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.

  • Gabriela Moura, University of Aveiro

    iBiMED – Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal.
    Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.

  • Alda Marques, University of Aveiro

    iBiMED – Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal.
    Lab3R – Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Aveiro, Portugal.

References

Published

2020-10-23

How to Cite

Exploring the clinical characteristics of chronic obstructive pulmonary disease using multiple and joint correspondence analysis. (2020). Journal of Statistics on Health Decision, 2(2), 24-28. https://doi.org/10.34624/jshd.v2i2.19527

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