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

  • Daniel Lobo Castro MSc medical statistics student (UA)
  • Vera Enes University of Aveiro
  • Gabriela Moura University of Aveiro
  • Alda Marques University of Aveiro
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.

Published
2020-10-23
How to Cite
Castro, D., Enes, V., Moura, G., & Marques, A. (2020). Exploring the clinical characteristics of chronic obstructive pulmonary disease using multiple and joint correspondence analysis. Journal of Statistics on Health Decision, 2(2), 24-28. https://doi.org/10.34624/jshd.v2i2.19527
Issue
Vol 2 No 2 (2020): Special Issue - Statistics on Health Decision Making: clinical trials
Section
Extended Abstract

Copyright (c) 2020 Daniel Lobo Castro, Vera Enes, Gabriela Moura, Alda Marques

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