Related Experiment Video
Updated: Aug 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Cancer staging and survival rates: an analysis
1Department of Nuclear Medicine, University of Connecticut Health Center, Farmington 06032.
Abstract:
The interrelation between tumor staging and survival is an inverse one; patients with more widespread disease tend to have a shorter survival. Using this as a basis, a relationship was given between the logarithm of the percent survival at five years and the tumor stage at diagnosis. The description yielded an excellent fit for six reported neoplasms. For four other malignancies, the curves revealed a shape which resembled that of a multitarget model. The simpler description of logarithm of survival versus stage could be viewed as the limiting value of a multitarget model when the target number equals 1.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Kaplan-Meier Approach
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Cancer Survival Analysis