summary.msm: Summarise a fitted multi-state model

In msm: Multi-State Markov and Hidden Markov Models in Continuous Time

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 [e-mail]

See Also

msm,prevalence.msm, hazard.msm

msm documentation built on Nov. 24, 2023, 1:06 a.m.