summary.p3state: Summary Methods for an p3state Object

In p3state.msm: Analyzing Survival Data from an Illness-Death Model

Summary Methods for an p3state Object

Description

Provides results for an object of class ‘p3state’. It gives the estimated transition probabilities, bivariate distribution of the gap times and marginal distribution of the second gap time (the last two only available for the progressive three-state model). Also provides the results for the fit of semi-parametric Cox regression models.

Usage

## S3 method for class 'p3state'
summary(object, model = NULL, covmat = NULL,
estimate = NULL, time1 = NULL, time2 = NULL, ...)

Arguments

object	An object of class ‘p3state’.
model	A character string specifying which model(s) to fit. Possible values are "TDCM", "CMM" and "CSMM". If NULL none of the regression models will be implemented.
covmat	Return the variance-covariance matrices? By default covmat=FALSE.
estimate	If TRUE nonparametric estimates are given. These include: transition probabilities, bivariate distribution function and marginal distribution of the second time (the last two only for the progressive three-state model).
time1	The first time for obtaining estimates of the transition probabilities, bivariate distribution function. NULL is equivalent to 0.
time2	The second time for obtaining estimates of the bivariate distribution function.
...	Further arguments for summary.

Value

No value is returned.

Author(s)

Luis Meira-Machado, Javier Roca-Pardinas and Artur Araújo

References

Meira-Machado L., Roca-Pardinas J. (2011). p3state.msm: Analyzing Survival Data from an Illness-Death Model. Journal of Statistical Software, 38(3), 1-18. doi: 10.18637/jss.v038.i03

See Also

p3state

Examples

data(heart2)
res.p3state<-p3state(heart2, formula=~age+year)
summary(res.p3state,model="CMM",time1=20,time2=100)

p3state.msm documentation built on Jan. 22, 2023, 1:34 a.m.