Related Experiment Video
Updated: May 31, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
On estimation in relative survival
Maja Pohar Perme1, Janez Stare, Jacques Estève
1Department of Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia. maja.pohar@mf.uni-lj.si
Abstract:
Estimation of relative survival has become the first and the most basic step when reporting cancer survival statistics. Standard estimators are in routine use by all cancer registries. However, it has been recently noted that these estimators do not provide information on cancer mortality that is independent of the national general population mortality. Thus they are not suitable for comparison between countries. Furthermore, the commonly used interpretation of the relative survival curve is vague and misleading. The present article attempts to remedy these basic problems. The population quantities of the traditional estimators are carefully described and their interpretation discussed. We then propose a new estimator of net survival probability that enables the desired comparability between countries. The new estimator requires no modeling and is accompanied with a straightforward variance estimate. The methods are described on real as well as simulated data.
Related Concept Videos
Kaplan-Meier Approach
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...

