summary.survHE: Prints a summary table for the distribution the mean survival...

In giabaio/survHE: Survival Analysis in Health Economic Evaluation

Prints a summary table for the distribution the mean survival time for a given model and data

Description

Calculates the mean survival time as the area under the survival curve

Usage

## S3 method for class 'survHE'
summary(object, mod = 1, t = NULL, nsim = 1000, ...)

Arguments

object	a survHE object (resulting from the call to fit.models
mod	the model to be analysed (default = 1)
t	the vector of times to be used in the computation. Default = NULL, which means the observed times will be used. NB: the vector of times should be: i) long enough so that S(t) goes to 0; and ii) dense enough so that the approximation to the AUC is sufficiently precise
nsim	the number of simulations from the survival curve distributions to be used (to compute interval estimates)
...	Additional options

Details

A list comprising of the following elements

Value

mean.surv	A matrix with the simulated values for the mean survival times
tab	A summary table

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

fit.models, make.surv

Examples

## Not run: 
data(bc)

mle = fit.models(formula=Surv(recyrs,censrec)~group,data=bc,
    distr="exp",method="mle")
summary(mle,nsim=100)

## End(Not run)

giabaio/survHE documentation built on Sept. 9, 2023, 2:47 a.m.