interpolate_cumsurv: Compute cumulative event-free survival curve for single-year...

In cancerpolicy/bcimodel: Model the impact of early detection and treatment interventions for breast cancer

Description

Takes age-binned event rates per 100,000 and uses interpolation to estimate cumulative event-free survival for single years

Usage

interpolate_cumsurv(binnedrates, ratevar, maxage = NULL,
  country = NULL)

Arguments

binnedrates	Data frame with Age for age groups
ratevar	Name of rate variable
maxage	Maximum age desired. If data are incomplete, the rate for the oldest age will be held constant until maxage. Leave NULL to have the data determine the max age.
country	Country to select from the data frame

Value

Data frame of cumulative survival probability by single-year ages

Examples

data(incratesf)
data(allmortratesf)

# Example with breast cancer incidence
inc <- interpolate_cumsurv(incratesf, 
                         ratevar='Female.Rate.Per.100K',
                         country='Uganda')
# Example with all-cause mortality
mort <- interpolate_cumsurv(allmortratesf, 
                         ratevar='Rate.Per.100K',
                         country='Uganda')

cancerpolicy/bcimodel documentation built on June 30, 2019, 12:39 a.m.