View source: R/summary.survHE.R
summary.survHE | R Documentation |
Calculates the mean survival time as the area under the survival curve
## S3 method for class 'survHE'
summary(object, mod = 1, t = NULL, nsim = 1000, ...)
object |
a |
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 |
A list comprising of the following elements
mean.surv |
A matrix with the simulated values for the mean survival times |
tab |
A summary table |
Gianluca Baio
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
fit.models
, make.surv
## 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)
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