sigma.mjoint

Extract residual standard deviation(s) from an <code>mjoint</code>
 object.

methods

Fits the joint model proposed by Henderson and colleagues (2000)
<doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple
continuous longitudinal measures. The time-to-event data is modelled using a
Cox proportional hazards regression model with time-varying covariates. The
multiple longitudinal outcomes are modelled using a multivariate version of the
Laird and Ware linear mixed model. The association is captured by a multivariate
latent Gaussian process. The model is estimated using a Monte Carlo Expectation
Maximization algorithm. This project was funded by the Medical Research Council
(Grant number MR/M013227/1).

Hickey Graeme L.

joineRML

Joint Modelling of Multivariate Longitudinal Data and
Time-to-Event Outcomes

Graeme L. Hickey

Pete Philipson

Andrea Jorgensen

Ruwanthi Kolamunnage-Dona

Paula Williamson

Dimitris Rizopoulos

Alessandro Gasparini

Medical Research Council 

sigma.mjoint function

<dl><dt>object</dt>
<dd>an object inheriting from class <code>mjoint</code> for a joint model
of time-to-event and multivariate longitudinal data.</dd>
<dt>...</dt>
<dd>additional arguments; currently none are used.</dd></dl>

Arguments

Graeme L. Hickey (<a href="/link/graemeleehickey%40gmail.com?package=joineRML&version=0.4.6" data-mini-rdoc="joineRML::graemeleehickey@gmail.com">graemeleehickey@gmail.com</a>)

Author

Extract residual standard deviation(s) from an mjoint object — sigma.mjoint

<dl>

<dt>object</dt>
<dd>an object inheriting from class <code>mjoint</code> for a joint model
of time-to-event and multivariate longitudinal data.</dd>


<dt>...</dt>
<dd>additional arguments; currently none are used.</dd>

</dl>

Graeme L. Hickey (<a href='mailto:graemeleehickey@gmail.com'>graemeleehickey@gmail.com</a>)

sigma.mjoint: Extract residual standard deviation(s) from an `mjoint` object

Description

Usage

Value

Arguments

Author

References

See Also