confint: Obtain Confidence Intervals for Joint Model Parameters

In hadjipantelis/JSM: Semiparametric Joint Modeling of Survival and Longitudinal Data

Description

confint is a generic function which computes confidence intervals for parameters in models fitted by jmodelTM() or jmodelMult().

Usage

## S3 method for class 'jmodelTM'
confint(object, parm, level = 0.95, ...)
## S3 method for class 'jmodelMult'
confint(object, parm, level = 0.95, ...)

Arguments

object	an object inheriting from class jmodelTM or jmodelMult.
parm	a specification of which parameters are to be given confidence intervals. As currently implemented, always give confidence intervals for all regression coefficients.
level	the confidence level required.
...	additional arguments required. None is used in this method.

Value

A list consists of the following components:

infoLong	a matrix with columns giving parameter estimates as well as their lower and upper confidence limits for the regression parameters of the longitudinal process.
infoSurv	a matrix with columns giving parameter estimates as well as their lower and upper confidence limits for the regression parameters of the survival process.
level	the confidence level used in computing the confidence limits.

Author(s)

Cong Xu [e-mail]

Examples

## Not run: 
fitLME <- lme(proth ~ Trt * obstime, random = ~ 1 | ID, data = liver)
fitCOX <- coxph(Surv(start, stop, event) ~ Trt, data = liver, x = TRUE)
fitJT.ph <- jmodelTM(fitLME, fitCOX, liver, timeVarY = 'obstime')

# 95% confidence intervals for the joint model parameters
confint(fitJT.ph)

## End(Not run)

hadjipantelis/JSM documentation built on May 22, 2019, 4:40 p.m.