Statistical inference methods for cumulative incidence function curves at a fixed point in time
Applications
2021-06-22 v2 Methodology
Abstract
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.
Cite
@article{arxiv.1807.05846,
title = {Statistical inference methods for cumulative incidence function curves at a fixed point in time},
author = {Jinbao Chen and Yawen Hou and Zheng Chen},
journal= {arXiv preprint arXiv:1807.05846},
year = {2021}
}