Hi everyone,
I was wondering if there is any generic rules on when it's good to use a derivation and validation cohort on a dataset? So far I have only seen them being used for diagnostic tests.
Also, if I use two datasets from two different studies to do this, do the datasets need to have the same primary endpoint? E.g. I am planning to do the derivation using one dataset and validation using another. The primary endpoint I am looking at is 30 days mortality for my research. One dataset records 30 days mortality, the other one only records in-hospital death within 30 days (if patients die after they are discharged, it is NOT recorded). Would it be correct to use one as validation and other as derivation cohort for this?
Many thanks.
I was wondering if there is any generic rules on when it's good to use a derivation and validation cohort on a dataset? So far I have only seen them being used for diagnostic tests.
Also, if I use two datasets from two different studies to do this, do the datasets need to have the same primary endpoint? E.g. I am planning to do the derivation using one dataset and validation using another. The primary endpoint I am looking at is 30 days mortality for my research. One dataset records 30 days mortality, the other one only records in-hospital death within 30 days (if patients die after they are discharged, it is NOT recorded). Would it be correct to use one as validation and other as derivation cohort for this?
Many thanks.