summary.survHE {survHE}

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)