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msm (version 0.1)

msm.summary: Summarise a fitted multi-state model

Description

Summary method for fitted msm models. For models without misclassification, produces a table of observed and expected state prevalences for each time. For all models, prints hazard ratios with confidence intervals for covariate effects.

Usage

## S3 method for class 'msm':
summary(object, prevtimes=NULL, timezero=NULL, initstates=NULL,
hazard.scale=NULL,\dots)
## S3 method for class 'summary.msm':
print(x,\dots)

Arguments

object
A fitted multi-state model object, as returned by msm.
prevtimes
A sequence of times at which to compare observed and expected prevalences of each state. Defaults to seq(min(times), max(times), (max(times) - min(times))/10).
timezero
Initial time of the Markov process. Expected values are forecasted from here. Defaults to the minimum of the observation times given in the data.
initstates
Optional vector of the same length as the number of states. Gives the numbers of individuals occupying each state at timezero. The default is that all individuals are in state 1.
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.
x
An object of class summary.msm usually, a result of a call to summary.msm
...
further arguments passed to or from other methods

Value

See Also

msm, print.summary.msm prevalence.msm, prevalencemisc.msm, hazard.msm