fitted.mjoint

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

object

an optional integer giving the level of grouping to be used in
extracting the fitted values from object. Level values increase from outermost
to innermost grouping, with level 0 corresponding to the population
fitted values and level 1 corresponding to subject-specific fitted values Defaults
to level 0.

level

additional arguments; currently none are used.

The fitted values at level <em>i</em> are obtained by adding
  together the population fitted values (based only on the fixed effects
  estimates) and the estimated contributions of the random effects.

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 is funded by the Medical Research Council
(Grant number MR/M013227/1).

Graeme L. Hickey

fitted.mjoint: Extract

Description

Usage

Arguments

Value

References

See Also