R: Summarise a fitted multi-state model

msm.summary {msm} | R Documentation

## Summarise a fitted multi-state model

### Description

Summary method for fitted `msm` models. This is simply a wrapper around `prevalence.msm` which produces a table of observed and expected state prevalences for each time, and for models with covariates, `hazard.msm` to print hazard ratios with 95% confidence intervals for covariate effects.

### Usage

    ## S3 method for class 'msm'
    summary(object, hazard.scale=1, ...)

### Arguments

`object` | A fitted multi-state model object, as returned by `msm`.
`hazard.scale` | Vector with same elements as number of covariates on transition rates. Corresponds to the increase in each covariate used to calculate its hazard ratio. Defaults to all 1.
`...` | Further arguments passed to `prevalence.msm`.

### Value

A list of class `summary.msm`, with components:

`prevalences` | Output from `prevalence.msm`.
`hazard` | Output from `hazard.msm`.
`hazard.scale` | Value of the `hazard.scale` argument.

### Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

### See Also

`msm`,`prevalence.msm`, `hazard.msm`

[Package msm version 1.6.8 Index]