joint.object

<p>An object returned by the <code>joint</code> function, inheriting from
  class <code>joint</code> and representing a fitted joint model for longitudinal
  and time-to-event (or competing risks) data.</p>

survival

Analysis of repeated measurements and time-to-event data via random
effects joint models. Fits the joint models proposed by Henderson and colleagues
<doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson and
colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time) to a
single continuous repeated measure. The time-to-event data is modelled using a
(cause-specific) Cox proportional hazards regression model with time-varying
covariates. The longitudinal outcome is modelled using a linear mixed effects
model. The association is captured by a latent Gaussian process. The model is
estimated using am Expectation Maximization algorithm. Some plotting functions
and the variogram are also included. This project is funded by the Medical
Research Council (Grant numbers G0400615 and MR/M013227/1).

Hickey Graeme L.

joineR

Joint Modelling of Repeated Measurements and Time-to-Event Data

Pete Philipson

Ines Sousa

Peter J. Diggle

Paula Williamson

Ruwanthi Kolamunnage-Dona

Robin Henderson

Graeme L. Hickey

Maria Sudell

Medical Research Council 

joint.object function

<p>An object of class <code>NULL</code> of length 0.</p>

Format

Author

Fitted joint object — joint.object

Fitted <code>joint</code> object

joint.object: Fitted `joint` object

Description

Usage

Arguments

Value

Format

Author

See Also