simSeerSet: Simulate SEER cancers and population person years

Description

Simulates data for two cancers, A and B.

Usage

simSeerSet(N=2e9,yearEnd=2012,ka=1e-5,kb=0.04,Ab=1e-5,
                 tauA=10,tauB=1,delay=1,period=4)

Arguments

Number of person years to simulate. Default is roughly that of SEER.

yearEnd

Most recent SEER year to simulate.

Rate at which cancer A incidence increases linearly with age.

Exponential aging rate constant for cancer B incidence.

Exponential amplitude for cancer B incidence.

tauA

Survival mean in years for cancer A.

tauB

Survival mean in years for cancer B.

delay

Years until the beginning of the excess risk of B.

period

Duration in Years of the excess risk of B.

Value

A simulated seerSet object with popsa filled using US 2000 Std population proportions and canc with cancers A and B where the incidence of A increases linearly with age and B increase exponentially in age. Survival times are assumed to be exponentially distributed with means of tauA years for A and tauB years for B. Radiation therapy of A is assumed to increase RR of B to 5 uniformly for period years after delay years.

Examples

Run this code

# NOT RUN {
library(SEERaBomb)
n=simSeerSet()
n=mk2D(n,secondS="B") 
mybrks=c(0,0.75,0.9,1.1,1.25,2,2.5,3,3.5,4,4.75,4.9,5.1,5.25,6)
n=tsd(n,brks=mybrks,trts=c("rad","noRad")) 
D=mkDF(n)%>%filter(cancer1=="A")%>%select(t,RR,L=rrL,U=rrU,trt)
head(D,2)
library(ggplot2)
theme_update(legend.position = c(.8, .815),
             axis.text=element_text(size=rel(1.2)),
             axis.title=element_text(size=rel(1.3)),
             legend.title=element_text(size=rel(1.2)),
             legend.text=element_text(size=rel(1.2)))
g=qplot(x=t,y=RR,col=trt,data=D,geom=c("line","point"),
        xlab="Years Since First Cancer Diagnosis",ylab="Relative Risk")
g+geom_abline(intercept=1, slope=0)+geom_errorbar(aes(ymin=L,ymax=U,width=.05))
# }

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