summary.intcure: Summary of fitted mixture cure models with random effects

In intcure: Mixture Cure Models with Random Effects

Description

It calculates standard errors, z-values, and p-values of estimates from a fitted mixture cure model with random effects

Usage

## S3 method for class 'intcure'
summary(object, ...)

Arguments

object	an intcure object obtained from intcure
...	inherited but not used here

Value

An object of class summary.intcure is returned. It is a list that includes all the components of class intcure plus an additional component statistics, which is a list of following components:

bt	a matrix with column Estimate, Stderr, zvalue, and pvalue for the estimated value of beta in the latency model
gm	a matrix with column Estimate, Stderr, zvalue, and pvalue for the estimated value of gamma in the incidence model
basepara	a matrix with column Estimate, Stderr, zvalue, and pvalue for the estimated value of the parameters in the baseline distribution
sigma	a matrix with column Estimate and Stderr for the random effects in the model

Author(s)

Yingwei Peng

See Also

intcure

Examples

data(bmtfit)
summary(bmtfit)

intcure documentation built on July 2, 2020, 12:25 a.m.