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.
journal_name
Biochem Med (Zagreb)journal_title
Biochemia medicaauthors
Sperandei Sdoi
10.11613/BM.2014.003subject
Has Abstractpub_date
2014-02-15 00:00:00pages
12-8issue
1eissn
1330-0962issn
1846-7482pii
biochem-24-1-12-4journal_volume
24pub_type
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