In my other post earlier today, I made a plea for researchers to include model details for research done on retrospective data. I thought it will be a good idea to include an example of what it might look like and how it is helpful.

A good example is the research done in England and published on BMJ Open in 2012 that led to development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30).

The paper lists the coefficients of their logistic regression model

It has a worked example of how a risk score can be calculated

The supplemental website has lots of information to help you implement or validate this model for your own population