US-CDC Life-Table for SEER-17 Background Mortality Adjustment

Annual death rates by single year of age (0–100) and sex from the US Centers for Disease Control and Prevention (CDC) National Center for Health Statistics, aligned to the SEER-17 study period (cases diagnosed before 2021). Used by make_background_surv and run_tumour_analysis to normalise relative (disease-specific) survival estimates to net (all-cause) survival.

Usage

lifetable_seer

Format

A data frame with 101 rows and 3 columns:

Age: Integer age (0, 1, 2, …, 100).
Males: Annual probability of death for males at this age.
Females: Annual probability of death for females at this age.

Source

US CDC/NCHS National Vital Statistics Reports, underlying cause-of-death life-tables (https://www.cdc.gov/nchs/nvss/life-tables.htm).

Details

A sex-mixed rate for a cohort with proportion male $\pi$ is constructed as: $$q_{\text{mix}} = \pi \cdot q_{\text{males}} + (1 - \pi) \cdot q_{\text{females}}.$$ This is done inside run_tumour_analysis for each recurrence-type subgroup.

Examples

data(lifetable_seer)
head(lifetable_seer)
#>   Age    Males  Females
#> 1   0 0.006023 0.005132
#> 2   1 0.000481 0.000394
#> 3   2 0.000332 0.000232
#> 4   3 0.000237 0.000187
#> 5   4 0.000179 0.000142
#> 6   5 0.000165 0.000133
plot(lifetable_seer$Age, lifetable_seer$Males, type = "l",
     xlab = "Age", ylab = "Annual death rate", main = "US-CDC Life-Table")
lines(lifetable_seer$Age, lifetable_seer$Females, lty = 2)
legend("topleft", c("Males", "Females"), lty = 1:2)