For a given diagnostic group, age group and period, the national crude incidence rate was estimated as the ratio of the number of new cancer cases over the corresponding at-risk population.
Direct age-standardisation method was used to estimate the age-standardised incidence rate (ASR), which is the incidence rate that we would observe if the French population had the same age structure as a standard “reference” population. The world population age distribution was used as the reference (Waterhouse J et al. eds. Cancer incidence in five continents, Lyon, IARC, 1976) for estimating ASR.
The cumulative incidence rate, which is the risk of developing cancer before age 15 years, was derived from the age-specific crude incidence rates.
The Kaplan Meier method and the Greenwood formula were used to estimate overall survival and their 95% confidence intervals. One-year and 5-year overall survival were estimated by diagnostic groups and subgroups.
Five-year overall survival was also estimated by gender and by age groups (<1 year, 1-4 years, 5-9 years, 10-14 years). Temporal trends in 5-year survival were assessed comparing survival in 3 time periods.
Survival differences were tested with the Log-Rank test.
Temporal variations in incidence rates
A Poisson regression model was used to assess the temporal trends in the incidence rates over the period 2000-2014, under the hypothesis of a linear trend. Average annual percent changes (AAPC) in incidence rates were estimated for each diagnostic group and subgroup.