Statistical corner: Logistic regression using R

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.