Related Experiment Video
Updated: Jun 28, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Competing risks data in clinical oncology
1Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States.
Abstract:
Competing risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches. Although competing risks data are ubiquitous in cancer studies, competing risks data are infrequently recognized and competing risks data analysis is not commonly performed. Consequently, efficacy of specific treatments is often incompletely and inaccurately presented and thus study results may be interpreted improperly. In the present article, we aim to enhance awareness of competing risks data and provide a general overview and guidance on competing risks data and its analysis using cancer clinical studies.
Related Concept Videos
Cancer Survival Analysis
Hazard Ratio
For example, in a clinical trial...
Comparing the Survival Analysis of Two or More Groups
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Clinical Trials: Overview
Clinical Trials
There are four phases in a clinical trial. A phase one...

