summary.shr: Summary of a fitted survival model using a penalized...

In SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data

Summary of a fitted survival model using a penalized likelihood approach

Description

Print a short summary of a fitted illness-death model using the penalized likelihood approach.

Usage

## S3 method for class 'shr'
summary(object, conf.int = 0.95, digits = 4, pvalDigits = 4, eps = 0.0001, ...)

Arguments

object	a shr object, i.e., the result of a call to the shr function.
conf.int	The level of confidence for the hazard ratios. The default is 0.95.
digits	number of digits to print.
pvalDigits	number of digits to print for p-values.
eps	convergence criterion used for p-values.
...	other unusued arguments.

Value

No return value.

Author(s)

Celia Touraine <[e-mail]>

See Also

shr, print.shr, plot.shr

Examples

# a penalized survival model 
data(testdata)
library(prodlim)
fit.su <- shr(Hist(time=list(l,r),id)~cov,data=testdata,method="Splines") 
summary(fit.su)

# Weibull survival model 
data(testdata)
fit.su <- shr(Hist(time=list(l,r),id)~cov,data=testdata) 
summary(fit.su) 

SmoothHazard documentation built on May 29, 2024, 7:54 a.m.