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ORIGINAL ARTICLE
Year : 2021  |  Volume : 9  |  Issue : 1  |  Page : 14-15

Statistical corner: Logistic regression using R


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
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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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