Hi guys,
I have a database of patients with their long-term survival data. Amongst others, I have one variable that resembles a scoring system in order to classify patients according to the severity of the disease (ordinal variable, 4 classes). This classification system was recently revised, and I have a second variable for the revised version. Now I'd like to investigate whether either score is independently associated with long-term survival. For this, I would like to run a multivariable Cox regression including further baseline variables as covariates. My question is: does it make sense to include BOTH scoring variables in the multivariable analysis? Or should I run two seperate multivariable analyses, one containing the old score and the other one containing the revised score as a covariate?
I hope I expressed myself clear enough. Your help is greatly appreciated! Thanks guys!
I have a database of patients with their long-term survival data. Amongst others, I have one variable that resembles a scoring system in order to classify patients according to the severity of the disease (ordinal variable, 4 classes). This classification system was recently revised, and I have a second variable for the revised version. Now I'd like to investigate whether either score is independently associated with long-term survival. For this, I would like to run a multivariable Cox regression including further baseline variables as covariates. My question is: does it make sense to include BOTH scoring variables in the multivariable analysis? Or should I run two seperate multivariable analyses, one containing the old score and the other one containing the revised score as a covariate?
I hope I expressed myself clear enough. Your help is greatly appreciated! Thanks guys!