psa.plot: Graphical depiction of the probabilistic sensitivity analysis...

In survHE: Survival Analysis in Health Economic Evaluation

Graphical depiction of the probabilistic sensitivity analysis for the survival curves

Description

Plots the survival curves for all the PSA simulations. The function is actually deprecated - similar graphs can be obtained directly using the plot method (with options), which allows a finer depiction of the results.

Usage

psa.plot(psa, ...)

Arguments

psa	the result of the call to the function make.surv
...	Optional graphical parameters, such as: xlab = label for the x-axis ylab = label for the y-axis col = (vector) of colours for the lines to be plotted alpha = the level of transparency for the curves (default = 0.2)

Author(s)

Gianluca Baio

References

G Baio (2019). survHE: Survival analysis for health economic evaluation and cost-effectiveness modelling. Journal of Statistical Software (2020). vol 95, 14, 1-47. doi:10.18637/jss.v095.i14

See Also

make.surv, write.surv

Examples

## Not run:  
data(bc)

# Fits the same model using the 3 inference methods
mle = fit.models(formula=Surv(recyrs,censrec)~group,data=bc,
    distr="exp",method="mle")
p.mle = make.surv(mle,nsim=100)
psa.plot(p.mle)

## End(Not run)

survHE documentation built on March 31, 2023, 11:37 p.m.