Related Experiment Video
Updated: Aug 8, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Survival from cancer--up-to-date predictions using period analysis
Lany F Ellison1, Laurie Gibbons
1Health Statistics Division, Statistics Canada, Ottawa, Ontario. Larry.Ellison@statcan.ca
Objectives:
This period analysis provides Canadian predictions of the short- and long-term relative survival of people recently diagnosed with cancer. Long-term period and cohort-based estimates are also compared.
Data Sources:
Data are from the Canadian Cancer Registry, the Canadian Mortality Data Base, and Statistics Canada life tables.
Analytical Techniques:
Relative survival analyses were conducted using the life-table method; expected survival proportions were derived using the Ederer II approach. Period analysis estimates were based on the survival experience of cancer cases followed up in 2002. The cohort analyses involved people diagnosed in 1997 (5-year survival) or 1992 (10-year survival). National estimates exclude Quebec.
Main Results:
Relative survival ratios were highest for thyroid (5-year, 97.7%) and prostate (95.2%) cancer and lowest for pancreatic cancer. Survival for many forms of cancer is higher than previously estimated by cohort-based analysis. The largest increases in 10-year relative survival were predicted for cancers of the prostate (13.0%) and rectum (9.7%). The largest predicted increases for 5-year survival were for cancers of the cervix uteri (5.4%) and rectum (4.5%), and for leukemia (3.7%).
Related Concept Videos
Cancer 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,...
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Kaplan-Meier Approach