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0012 A holistic approach to calculating a multimorbidity score: the usefulness of multi-correspondence analysis
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Authors

  • Monica Ubalde-Lopez 1CISAL-Center for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain2CIBERESP, CIBER in Epidemiology and Public Health, Madrid, Spain PubMed articlesGoogle scholar articles
  • David Gimeno 1CISAL-Center for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain3Southwest Center for Occupational and Environmental Health, Division of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, San Antonio Campus, Texas, USA PubMed articlesGoogle scholar articles
  • George Delclos 1CISAL-Center for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain4Southwest Center for Occupational and Environmental Health, Division of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Texas, USA PubMed articlesGoogle scholar articles
  • Eva Calvo-Bonacho 5Ibermutuamur, (Mutua de Accidentes de Trabajo Y Enfermedades Profesionales de La Seguridad Social 274), Madrid, Spain PubMed articlesGoogle scholar articles
  • Fernando G Benavides 1CISAL-Center for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain2CIBERESP, CIBER in Epidemiology and Public Health, Madrid, Spain PubMed articlesGoogle scholar articles

Citation

Ubalde-Lopez M, Gimeno D, Delclos G, et al
0012 A holistic approach to calculating a multimorbidity score: the usefulness of multi-correspondence analysis

Publication history

  • First published June 23, 2014.
Online issue publication 
April 27, 2016

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