JSM: confint – R documentation

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confint

Obtain Confidence Intervals for Joint Model Parameters

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 helenxu1112@gmail.com

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)

JSM

Semiparametric Joint Modeling of Survival and Longitudinal Data

v1.0.1

BSD_3_clause + file LICENSE

Authors

Cong Xu, Pantelis Z. Hadjipantelis and Jane-Ling Wang

Initial release

2020-07-22