generate_overdiag: Simulate incidence of overdiagnosis.

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

Description

Append to input data frame the number of overdiagnosed cases given the specified frequency of overdiagnosis.

Usage

generate_overdiag(dset, overdiag.rate)

Arguments

dset	data frame of simulated population as produced by generate_absence after processing by generate_presence.
overdiag.rate	Proportion of screen-detected cases that are overdiagnosed.

Value

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

See Also

generate_absence, generate_presence

Examples

library(plyr)
library(reshape)
dset <- generate_absence(1000, 0.001, 0, 6, 10)
dset <- generate_presence(dset, 0, 6, 0.5, 0.8, 0, 10, 10)
dset <- generate_overdiag(dset, 0.25)
print(head(dset))

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