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Updated: Aug 13, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation
Brent R Logan1, Mei-Jie Zhang, John P Klein
1Division of Biostatistics and Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, USA.
Abstract:
In this article, we consider methods of regression modeling in the competing risks setting commonly encountered in analyzing stem cell transplantation data. We clarify the distinction between modeling the cause-specific hazard rate and modeling the cumulative incidence probability or function, and we review regression techniques for both types of quantities. We apply them to 2 examples: 1 comparing engraftment and 1 examining relapse. These examples illustrate that different conclusions may result depending on the type of regression model used for comparing treatments. Finally, we show how these discrepancies occur because 2 different characteristics of the time-to-event distribution are being modeled.
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