stcrprep

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), for example using stpm3.

More details can be found in the Stata Journal article

I should point out that I am less keen on modelling the subhazard than when I wrote this command. Generally, I prefer to use fit cause-specific hazard models for each cause and then combine these to estimate the cause-sepcific CIFs.

Below are some simple examples of using stcrprep.

Examples

Non and semi parametric methods

• Using sts graph for cause-specific CIFs
• Using stcox instead of stcrreg
• Computational benefits of using stcrprep
• Schoenfeld residuals

Parametric models

• Using stpm3 to model the cause-specific CIF
• Alternative link functions.