plotCIN1Incidence {mSimCC}R Documentation

Calculates and plots the CIN1 incidence.

Description

Calculates and plots the CIN1 incidence for one or several prevention strategies.

Usage

  plotCIN1Incidence(..., current=NULL, labels=NULL)

Arguments

...

one or several microsimulated cohort corresponding to one or several microsimulated cohorts.

current

real CIN 1 incidence in the population of interest.

labels

labels to be used in the plot.

Value

Returns a list with CIN 1 incidence for each age group.

Author(s)

David Moriña, Pedro Puig and Mireia Diaz

References

Georgalis L, de Sanjosé S, Esnaola M, Bosch F X, Diaz M. Present and future of cervical cancer prevention in Spain: a cost-effectiveness analysis. European Journal of Cancer Prevention 2016;25(5):430-439.

Moriña D, de Sanjosé S, Diaz M. Impact of model calibration on cost-effectiveness analysis of cervical cancer prevention 2017;7.

See Also

mSimCC-package, microsim, costs, le, bCohort, plotCIN2Incidence, plotCIN3Incidence, plotIncidence, plotMortality, plotPrevalence, qalys, yls

Examples

data(probs)
nsim       <- 3
p.men      <- 0
size       <- 20
min.age    <- 10
max.age    <- 84

#### Natural history
hn <- microsim(seed=1234, nsim, probs, abs_states=c(10, 11), sympt_states=c(5, 6, 7, 8), 
               prob_sympt=c(0.11, 0.23, 0.66, 0.9), 
                size, p.men, min.age, max.age, 
                utilityCoefs = c(1, 1, 0.987, 0.87, 0.87, 0.76, 0.67, 0.67, 0.67, 0.938, 0, 0),
                costCoefs.md = c(0, 0, 254.1, 1495.9, 1495.9, 5546.8, 12426.4, 23123.4, 
                                 34016.6, 0, 0, 0),
                costCoefs.nmd = c(0, 0, 81.4, 194.1, 194.1, 219.1, 219.1, 219.1, 219.1, 0, 0, 0),
                costCoefs.i = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), disc=3, 
                treatProbs=c(0,0,1,1,1,0.9894,0.9422,0.8262,0.5507,0,0,0),
                nCores=1) ### individual level
hn_c <- bCohort(hn)
plotCIN1Incidence(hn_c) ### Aggregated level

[Package mSimCC version 0.0.1 Index]