| ORIGINAL ARTICLE |
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| Year : 2021 | Volume
: 9
| Issue : 1 | Page : 14-15 |
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Statistical corner: Logistic regression using R
Mikko Pyysalo
City of Tampere, Oral Health Services; Oral and Maxillofacial Unit, Tampere University Hospital; Hemorrhagic Brain Pathology Research Group, University of Tampere, Finland, Europe, Finland
Correspondence Address:
Dr. Mikko Pyysalo
City of Tampere, Oral Health Services; Oral and Maxillofacial Unit, Tampere University Hospital; Hemorrhagic Brain Pathology Research Group, University of Tampere
Finland
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/jcvs.jcvs_14_21
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Introduction: Logistic regression is a regression with a categorical outcome variable and predictor variables that can be either continuous or categorical.
Objectives: To demonstrate the basic workflow of logistic regression using R.
Materials and Methods: A real world data-set has been used to present an example for the basic workflow of logistic regression using R.
Results: Accurate results were obtained including deviance for analysing the fit of the model.
Conclusions: Performing basic statistical modeling in R is simple and straightforward procedure. Analysing model fit is essential to be able to report the results.
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