How To Deal With Missing Covariates In Logistic Regression? A Bayesian Approach

Logistic regression is an analytical tool widely used in medical and epidemiological researches. In many studies, we face data sets in which some parts of the data are not reported or in other words are missing. The simplest way of dealing with such data is just to ignore the subjects with missing observations, and analyze with the complete cases which is obviously inefficient. We consider methods…