  Competing risks data arise frequently in clinical trials. When the
proportional subdistribution hazard assumption is violated or two cumulative
incidence function (CIF) curves cross, rather than comparing the overall
treatment effects, researchers may be interested in focusing on a comparison of
clinical utility at some fixed time points. This paper extend a series of tests
that are constructed based on a pseudo-value regression technique or different
transformation functions for CIFs and their variances based on Gaynor's or
Aalen's work, and the differences among CIFs at a given time point are
compared.
