There are 5 independent variables which predict mortality, one of which is age (the other 4 are binary variables).

I have decided to dichotomise age so that the score can be easily used. I am aware that this runs the risk or losing prognostic information. Therefore, I want to compare the model as 5 variables with age dichotomised and with age as a continuous variable. The other 4 variables remain the same, as does the population and the outcome.

Having looked into this online, I am getting slightly conflicting information, which may simply reflect different opinions, however I cannot find what is the best figure to quote to in this situation.

I think it is probably best to present the -2 log likelihood figure for both, or I can use the chi squared likelihood. R square is another option, but I am aware that people sometimes find this confusing to interpret. I know that the scores are not really any different, as these 3 numbers are the same, and the associate ROC curve for each model is only 0.005 different.

Any help is appreciated.