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Pregledni rad

https://doi.org/10.11613/BM.2014.003

Understanding logistic regression analysis

Sandro Sperandei orcid id orcid.org/0000-0001-5367-3397 ; School of Physical Education and Sports – Federal University of Rio de Janeiro, Rio de Janeiro, Brazil


Puni tekst: engleski pdf 362 Kb

str. 12-18

preuzimanja: 13.183

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Sažetak

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.

Ključne riječi

regression analysis; logistic regression; odds ratio; variable selection

Hrčak ID:

115732

URI

https://hrcak.srce.hr/115732

Datum izdavanja:

15.2.2014.

Posjeta: 37.729 *