Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time

ConclusionPrognostic models are typically developed using a full cohort analysis that can result in out-of-date long-term survival estimates when survival has improved in recent years. Temporal recalibration is a simple method to address this, which can be used when developing and updating prognostic models to ensure survival predictions are more closely calibrated with the observed survival of individuals diagnosed subsequently.
Source: International Journal of Epidemiology - Category: Epidemiology Source Type: research