Biochemia Medica, Vol. 24 No. 1, 2014.
Review article
https://doi.org/10.11613/BM.2014.003
Understanding logistic regression analysis
Sandro Sperandei
orcid.org/0000-0001-5367-3397
; School of Physical Education and Sports – Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.
Keywords
regression analysis; logistic regression; odds ratio; variable selection
Hrčak ID:
115732
URI
Publication date:
15.2.2014.
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