msm: summary.msm – R documentation

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summary.msm

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