Modelling time-dependent hazard ratios in relative survival: application to colon cancer
Related Experiment Video
Updated: Oct 4, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
P Bolard1, C Quantin, J Esteve
1Registre Bourguignon des Tumeurs Digestives (Burgundy Registry of Digestive Tumors), Faculté de Médecine, 7 Bd Jeanne d'Arc 21033, Dijon Cedex, France.
Abstract:
The Cox model is widely used in the evaluation of prognostic factors in clinical research. In population-based studies, however, which assess long-term survival of unselected populations, relative survival models are often considered more appropriate. In both approaches, the validity of proportional hazard hypothesis should be evaluated. To explore the validity of the proportional hazard assumption in a population-based study of colon cancer, to propose non-proportional hazard relative survival models and to evaluate their utility. The use of a piecewise proportional hazard relative survival model in colon cancer has shown that the effects of most clinical prognostic factors such as age, period of diagnosis and stage are non-proportional. The non-proportional hazard relative survival models developed in this article have been found to be efficient tools for better understanding the time-dependent aspect of prognostic factors.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Cancer Survival Analysis
Hazard Ratio
For example, in a clinical trial evaluating a...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Relative Risk
