hazard.msm: Calculate tables of hazard ratios for covariates on transition intensities
Description
Hazard ratios are computed by exponentiating the
estimated covariate effects on the log-transition intensities.
This function is called by summary.msm.
Usage
hazard.msm(x, hazard.scale = 1)
Arguments
x
Output from msm representing a fitted
multi-state model.
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.
Value
A list of tables containing hazard ratio estimates, one table for each covariate.
Each table has three columns, containing the hazard ratio, and an
approximate upper 95% and lower 95% confidence limit respectively
(assuming normality of the estimator), for each Markov chain transition intensity.