Index of Stata tutorials Modelling and interpreting interactions in Stata Standardised survival curves: sex differences in survival Comparison of Cox and flexible parametric survival models Model-based age-standardisation with stpm2 Predicting in a new data set with stpm2 Out-of-sample prediction and model-based age-standardistion with stpm2 Conditional survival Competing risks: Estimating CIFs based on a flexible parametric model Multiple imputation: modelling excess mortality with missing stage Replicate estimates from a Cox model using Poisson regression Extended index (with short summary of each page)
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.
In this tutorial, we estimate net survival using both the Ederer II approach and the Pohar Perme approach. We do this using both -stnet- and -strs- (and get the same results).
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 …