In a logistic regression model, odds ratio provide a more coherent solution as compared to probabilities Odds ratio represent the constant effect of an independent variable on a dependent variable Here, being constant means that this ratio does not change with a change in the independent (predictor) variableLabs(title ="probability versus odds") 000 025 050 075 100 0 50 100 150 odds p probability versus odds Finally, this is the plot that I think you'llfind most useful because inlogistic regressionThe coefficient returned by a logistic regression in r is a logit, or the log of the odds To convert logits to odds ratio, you can exponentiate it, as you've done above To convert logits to probabilities, you can use the function exp (logit)/ (1exp (logit)) However, there are some things to note about this procedure
Three Methods For Computing The Intra Class Correlation In Multilevel Logistic Regression Barely Significant
