Can someone explain me in detail the following my question?
In developing prediction score in logistic regression analysis in the final equation model, regarding using odds ratio or using regression coefficient, which one is better? and why? for discrimination and calibration.
If any articles related with this question, please request to guide me?
Thanks
Win