Related Experiment Video
Updated: Aug 18, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Trends in cancer survival and mortality rates
Abstract:
Survival, i.e. the time from report to cancer registry to death was studied for 591,456 cases of cancer diagnosed in vivo from 1960 to 1984. Ten years survival increased from 35 to 40%. Survival rates for women were higher than for men. Since 10 years survival almost suggests cure, lead time bias is assumed not to be a major factor. Nor are relaxed histological criteria, detecting non-fatal tumors, intensified microscopic examination, changes in the relative frequency of cancer types, or increasing numbers of elderly patients assumed to be major artefacts. In contrast, improved socio-economic and health status are. Early detection also improves survival in some cancer types.
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
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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
Comparing the Survival Analysis of Two or More Groups
Applications of Life Tables
Cancer Survival Analysis