Hazard ratios are computed by exponentiating the
estimated covariate effects on the log-transition intensities.
This function is called by summary.msm.
hazard.msm(x, hazard.scale = 1, cl = 0.95)
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 and lower confidence limit respectively (assuming normality on the log scale), for each Markov chain transition intensity.
Output from msm representing a fitted
multi-state model.
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.
Width of the symmetric confidence interval to present. Defaults to 0.95.
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk
msm, summary.msm, odds.msm