# Calculate tables of odds ratios for covariates on misclassification probabilities

Source:`R/outputs.R`

`odds.msm.Rd`

Odds ratios are computed by exponentiating the estimated covariate effects on the logit-misclassification probabilities.

## 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.

## Author

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk