odds.msm: Calculate tables of odds ratios for covariates on
misclassification probabilities
Description
Odds ratios are computed by exponentiating the
estimated covariate effects on the logit-misclassification
probabilities.
Usage
odds.msm(x, odds.scale = 1, cl = 0.95)
Arguments
x
Output from msm representing a fitted
multi-state model.
odds.scale
Vector with same elements as number of covariates
on misclassification probabilities. Corresponds to the increase in
each covariate used to calculate its odds ratio. Defaults to all 1.
cl
Width of the symmetric confidence interval to present.
Defaults to 0.95.
Value
A list of tables containing odds ratio estimates, one table for each covariate.
Each table has three columns, containing the odds ratio, and an
approximate upper 95% and lower 95% confidence limit respectively
(assuming normality on the log scale), for each misclassification
probability.