stcrprep prepares data for estimating and modelling cause-specific cumulative incidence functions using time-dependent weights. Once the data has been prepared and the weights incorporated using
stset it is possible to obtain a graph of the non-parametric estimates of the cause-specific cumulative incidence function using
sts graph. In addition a model that estimates subhazard ratios (equivalent to the Fine and Gray model) can be fitted using
stcox. It is also possible to fit parametric models to directly estimate the cause-specific CIF (my main reason for developing the command).
Below are some simple examples of using
Non and semi parametric methods
- Using sts graph for cause-specific CIFs
- Computational benefits of using
- Schoenfeld residuals
stpm2to model the cause-specific CIF
- Alternative link functions.