Estimate conditional (on surviving some time) relative survival using several approaches. We estimate from both life tables and based on a flexible parametric model.
In this tutorial, we use a model-based approach to estimate all-cause survival that is age-standardised to the International Cancer Survival Standard (ICSS). In a separate tutorial, we accomplished this by fitting a separate model for each age group and then taking the weighted average of the age-specific estimates to get the age-standardised estimates. In this tutorial we apply the weights at an individual level, which precludes the need to explicitly estimate survival within each age group.
I didn't develop flexible parametric survival models, but I am an avid fan. Some of my methods research (with Paul Lambert and others) has involved extending flexible parametric models. This talk (based on a talk by Paul Lambert) describes why and …