frailtypack (version 2.3)

summary.nestedPenal: summary of regression coefficient estimates of a nested frailty model

Description

This function returns hazard rations (HR) and its confidence intervals for each regression coefficient

Usage

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

Arguments

object

output from a call to nestedPenal.

level

significance level of confidence interval. Default is 95%.

d

the desired number of digits after the decimal point. Default of 6 digits is used.

len

the total field width. Default is 6.

lab

label of printed results.

...

other unusued arguments.

Value

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

See Also

frailtyPenal for Nested frailty models, plot.nestedPenal, print.nestedPenal

Examples

data(dataNested)

modNested <- frailtyPenal(Surv(t1,t2,event)~cluster(group)+
                subcluster(subgroup)+cov1+cov2,Frailty=TRUE,
                data=dataNested,n.knots=8,kappa1=50000,kappa2=50000,
                hazard="Splines")

# It takes 90 minutes to converge (depends on processor)

summary(modNested)