summary.jointNestedPenal: summary of parameter estimates of a joint nested frailty...

In frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints

summary of parameter estimates of a joint nested frailty model

Description

This function returns hazard rations (HR) and its confidence intervals.

Usage

## S3 method for class 'jointNestedPenal'
summary(object, level = 0.95, len = 6, d =
2, lab="hr", ...)

Arguments

object	output from a call to frailtyPenal for joint nested models
level	significance level of confidence interval. Default is 95%.
len	the total field width. Default is 6.
d	the desired number of digits after the decimal point. Default of 6 digits is used.
lab	label of printed results.
...	other unused arguments.

Value

Prints HR and its confidence intervals for each covariate. Confidence level is allowed (level argument).

See Also

frailtyPenal

Examples

#-- here is generated cluster (30 clusters)
readmissionNested <- transform(readmission,group=id%%30+1)

# Baseline hazard function approximated with splines with calendar-timescale

model.spli.AG <- frailtyPenal(formula = Surv(t.start, t.stop, event)
 ~ subcluster(id) + cluster(group) + dukes + terminal(death), 
 formula.terminalEvent = ~dukes, data = readmissionNested, 
 recurrentAG = TRUE, n.knots = 8, kappa = c(9.55e+9, 1.41e+12),
 initialize = TRUE)

summary(model.spli.AG)

frailtypack documentation built on Nov. 25, 2023, 9:06 a.m.