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

In expertsurv: Incorporate Expert Opinion with Parametric Survival Models

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 - ported from survHE

Usage

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

Arguments

object	a expertsurv 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

Value

A list comprising of the following elements:

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

Author(s)

Gianluca Baio

References

\insertRef

Baio.2020expertsurv

See Also

fit.models.expert, make.surv

Examples

require("dplyr")
data2 <- data %>% rename(status = censored) %>% mutate(time2 = ifelse(time > 10, 10, time),
                                                       status2 = ifelse(time> 10, 0, status))
mle = example1 <- fit.models.expert(formula=Surv(time2,status2)~1,data=data2,
                   distr=c("wph", "gomp"),
                   method="mle")
summary(mle)

expertsurv documentation built on April 3, 2025, 10:37 p.m.