Relative survival
Relative survival is a way to measure how a disease affects life expectancy by comparing the observed survival of patients to the expected survival of people in the general population who are similar in age and gender. It focuses on deaths caused by the disease itself, not by other causes.
How it differs from overall survival: Overall survival counts all deaths from any cause. Relative survival uses a general population benchmark to separate the effect of the disease from deaths due to age or other factors, avoiding the need to perfectly classify cause of death.
How it’s calculated: Relative survival = observed survival in the patient group / expected survival in a comparable general population. If 10 out of 100 patients die over a period but only 1 out of 100 in the general population dies, the disease contributes an excess of 9 deaths per 100 people.
Why it’s useful: Death coding on certificates can be inconsistent across hospitals and registries, making cross-site comparisons hard. Relative survival avoids this by using a population baseline rather than relying on cause-of-death labeling.
Extra idea: Relative survival can be described over time as cumulative relative survival, similar to five-year survival, to show cancer-specific risk over several years after diagnosis.
Tools: Researchers estimate relative survival with statistical software such as R or Stata; some analyses use competing risks methods, with specialized packages available.
This page was last edited on 3 February 2026, at 08:20 (CET).