Understanding logistic regression analysis.

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 medica

authors

Sperandei S

doi

10.11613/BM.2014.003

subject

Has Abstract

pub_date

2014-02-15 00:00:00

pages

12-8

issue

1

eissn

1330-0962

issn

1846-7482

pii

biochem-24-1-12-4

journal_volume

24

pub_type

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