jointModelObject {JM}R Documentation

Fitted jointModel Object

Description

An object returned by the jointModel function, inheriting from class jointModel and representing a fitted joint model for longitudinal and time-to-event data. Objects of this class have methods for the generic functions anova, coef, fitted, fixed.effects, logLik, plot, print, random.effects, residuals, summary, and vcov.

Value

The following components must be included in a legitimate jointModel object.

coefficients a list with the estimated coefficients. The components of this list are:
betas
the vector of fixed effects for the linear mixed effects model.
sigma
the measurement error standard deviation for the linear mixed effects model.
gammas
the vector of baseline covariates for the survival model. For method = "ch-GH" and method = "ch-Laplace" this vector contains as first elements the sorted B-spline coefficients used to model the log cumulative baseline hazard.
alpha
the association parameter.
sigma.t
the scale parameter for the Weibull survival model; returned only when method = "weibull-GH".
lambda0
a two-column numeric matrix with the first column containing the estimated baseline hazard values, and the second the unique sorted event times; returned only when method = "ph-GH".
D
the variance-covariance matrix of the random effects.
Hessian the Hessian matrix evaluated at the estimated parameter values.
logLik the log-likelihood value.
EB a list with components:
post.b
the estimated random effects values.
post.vb
the estimated variance for the random effects estimates.
Zb
the estimated random effects part of the linear predictor for the longitudinal outcome (i.e., Z is the design matrix for the random effects b).
Ztimeb
the estimated random effects part of the linear predictor for the survival outcome (i.e., evaluated at the observed event times).
Ztime2b
the estimated random effects part of the linear predictor for the survival outcome (i.e., for the ith sample unit is evaluated at all event times that are less or equal to the ith observed event time); returned only when method = "ph-GH".
knots the numeric vector of the knots positions for the log times used in the B-splines approximation of the log cumulative baseline hazard; returned only when method = "ch-GH" or method = "ch-Laplace".
iters the number of iterations in the optimization algorithm.
convergence convergence identifier: 0 corresponds to successful convergence, whereas 1 to a problem (i.e., when 1, usually more iterations are required).
n the number of sample units.
N the total number of repeated measurements for the longitudinal outcome.
ni a vector with the number of repeated measurements for each sample unit.
d a numeric vector with 0 denoting censored observation and 1 events.
id the grouping vector for the longitudinal responses.
x a list with the design matrices for the longitudinal and event processes.
y a list with the response vectors for the longitudinal and event processes.
data.id a data.frame containing the variables for the linear mixed effects model at the time of the event.
method the value of the method argument.
termsY the terms component of the lmeObject.
termsT the terms component of the survObject.
formYx the formula for the fixed effects part of the longitudinal model.
formYz the formula for the random effects part of the longitudinal model.
formT the formula for the survival model.
timeVar the value of the timeVar argument
control the value of the control argument.
call the matched call.

Author(s)

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

See Also

jointModel


[Package JM version 0.2-2 Index]