Dear community,

I have a question how to tackle the following problem. I have a clinical dataset which has already common prognosis scores, like characteristic tumor markers, tumor classification, etc.

However I developed a new score which is able to predict patients' prognosis. But how can I show that my score is superior to other already developed prognosis markers?

I have read lots of publications with ROC-analysis and evaluation of c-indeces, ... . However, there seems to be no common consensus? Has anyone an idea how to tackle my problem?

LG,
Hashirama
Is your prognosis continuous or is it a yes/no outcome?  If it is yes/no, you can make a confusion matrix and then talk about specificity and sensitivity.  If it is continuous, you can measure the error (for example, root mean square error (RMSE)).