R: Calculate tables of odds ratios for covariates on...

odds.msm {msm} | R Documentation

## 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.

### Author(s)

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

### See Also

`msm`, `hazard.msm`

[Package msm version 1.6.8 Index]