summary.additivePenal: summary of parameter estimates of an additive frailty model

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

summary of parameter estimates of an additive frailty model

Description

This function returns hazard ratios (HR) and its confidence intervals

Usage

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

Arguments

object	output from a call to additivePenal.
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

additivePenal

Examples

data(dataAdditive)

modAdd <- additivePenal(Surv(t1,t2,event)~cluster(group)+var1+slope(var1),
correlation=TRUE,data=dataAdditive,n.knots=8,kappa=862,hazard="Splines")

#- 'var1' is boolean as a treatment variable.

summary(modAdd)

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