Related Experiment Video
Updated: Aug 23, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Estimating relative survival of Italian cancer patients from sparse cancer registries data
R De Angelis1, R Capocaccia, A Verdecchia
1Istituto Superiore di Sanità, Rome, Italy.
Purpose:
A method is presented for estimating relative survival of cancer patients at the national level from survival data provided by cancer registries covering only a subset of the general population and referring to different, and not necessarily overlapping, incidence periods.
Methods:
Relative survival rates are estimated as a function of the covariates sex, age, epoch of diagnosis, and registry area by means of a multiple regression model. National estimates are then computed by appropriate weighting of the sex-, age-, time- and registry-specific expected relative survival values.
Results:
The method is illustrated by a sample application to survival data of female breast cancer patients in Italy. The national estimates of breast cancer survival pattern show a mild decrease of survival with age and a marked increase with period of diagnosis.
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
Kaplan-Meier Approach
Comparing the Survival Analysis of Two or More Groups
The Mantel-Cox Log-Rank Test
Cancer Survival Analysis