Multivariate Analysis

Authors

  • Diego Pérez de Arenaza Head of Cardiovascular Imaging Section, Cardiology Department, Hospital Italiano de Buenos Aires.

DOI:

https://doi.org/10.52787/agl.v52i2.206

Keywords:

Statistical analysis, multivariate analysis

Abstract

Many medical, political and social events have multiple causes, many of them related to each other.

Multivariate analysis is a statistical tool to determine the relative contribution of different causes to a given event or outcome. Clinical researchers need this type of analysis, since diseases have multiple causes and prognosis is usually determined by a large number of factors.


This type of analysis will be applied in two clinical scenarios by means of two examples.

References

-1. Mitchell H. Katz. Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers. CAMBRIDGE UNIVERSITY PRESS. ISBN: 9780521760980.

-2. Charles Hennekens and Julie E. Buring, Epidemiology in Medicine. Lippincott Williams and Wilkins. ISBN: 9780316356367.

-3. Lagergren J, Bergström R, Lindgren A, Nyrén O. Symptomatic gastroesophageal reflux as a risk factor for esophageal adenocarcinoma. N Engl J Med. 1999 Mar 18;340(11):825-31

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Published

2022-06-27

How to Cite

Pérez de Arenaza, D. (2022). Multivariate Analysis. Acta Gastroenterológica Latinoamericana, 52(2), 115–124. https://doi.org/10.52787/agl.v52i2.206

Issue

Vol. 52 No. 2 (2022): Acta Gastroenterológica Latinoamericana

Section

Evidence

License

Copyright (c) 2022 Diego Pérez de Arenaza

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.