generate_absence: Simulate incidence in the absence of screening.

In roman-gulati/overdiag: A package to investigate empirical estimates of overdiagnosis

Description

Generate a data frame representing a population of pop.size individuals and record year of clinical diagnosis for relevant disease that develops in each year with a given sojourn time distribution under specified follow-up.

Usage

generate_absence(pop.size, onset.rate, sojourn.min, sojourn.max, followup.years)

Arguments

pop.size	Number of individuals in the simulated population.
onset.rate	Annual incidence rate of relevant preclinical disease.
sojourn.min	Minimum years of preclinical detectable period.
sojourn.max	Maximum years of preclinical detectable period.
followup.years	Number of years of follow-up.

Value

A data frame of simulated disease incidence organized by year of preclinical onset, number of preclinical cases, sojourn time, and year of clinical diagnosis.

See Also

generate_presence, generate_overdiag

Examples

library(plyr)
library(reshape)
dset <- generate_absence(1000, 0.001, 0, 6, 10)
print(head(dset))

roman-gulati/overdiag documentation built on May 27, 2019, 1:49 p.m.