sojourn.msm {msm} | R Documentation |
Estimate the mean sojourn times in the transient states of a multi-state model and their confidence limits.
sojourn.msm(x, covariates="mean", cl=0.95)
x |
A fitted multi-state model, as returned by msm |
covariates |
The covariate values at which to estimate the mean sojourn times. This can either be: the string "mean" , denoting the means of the covariates in
the data (this is the default),the number 0 , indicating that all the covariates should be
set to zero,a list of values, with optional names. For example, list(60, 1) ,
where the order of the list follows the order of the covariates
originally given in the model formula, or a named list, e.g.
list (age = 60, sex = 1)
|
cl |
Width of the symmetric confidence interval to present. Defaults to 0.95. |
The mean sojourn time in a transient state r is estimated by
- 1 / q_{rr}, where q_{rr} is the rth entry on the diagonal
of the estimated transition intensity matrix. Calls
deltamethod
to find approximate standard errors.
Confidence limits are estimated by assuming normality on the log
scale.
A data frame with components:
estimates |
Estimated mean sojourn times in the transient states. |
SE |
Corresponding standard errors. |
L |
Lower confidence limits. |
U |
Upper confidence limits. |
C. H. Jackson chris.jackson@imperial.ac.uk